METHOD AND APPARATUS FOR NOISE REDUCTION IN MAGNETIC MEDIA
Cross Reference to Related Application
This application is a continuation-in-part of Serial No. 08/046,071 filed April 9, 1993. Background and Summary of the Invention The sources of noise in a readback signal from a magnetic recording medium have been investigated and identified. One of those sources includes the irregu¬ larities and defects in the microstructure of the magnet¬ ic medium itself. For many years, the noise generated from this source has been thought, as with the noise generated from other identified sources, to be random and subject only to statistical analysis for its determina¬ tion. The inventors herein have recently demonstrated that this noise component is instead deterministic, i.e. is permanent and repeatable, depending entirely on the transducer-medium position and on the magnetic history of the medium. As confirmed by experiments conducted by the inventors herein, when the medium has had no signal writ-
ten on it and has been recorded only with DC fields, the observed readback signals are almost identical. The magnetic contribution to the readback signal under these conditions results from spatial variations in the medium's magnetization: magnetic domains, ripple, local fluctuations of the anisotropy field and saturization magnetization. These local properties, in turn, are affected by the morphology and magnetic properties of the individual grains which make up the domain and which do not change after deposition. Hence, the noise from a nominally uniformly magnetized region measured at a fixed position on a magnetic medium is reproducible. As shown by the inventors herein, a magnetic medium may be DC saturated and its output then measured to determine its remanent state or remanent noise. The inventors have confirmed that this remanent noise is a function of the magnetic microstructure by comparing the remanent noise after a positive DC saturation with the remanent noise after a negative DC saturation. It has been found that these wave forms are virtual "mirror images" of each other thereby demonstrating a close correlation. Simi¬ larly, other methodologies were used to confirm that the remanent noise was determinative, repeatable, and related to the physical microstructure of the magnetic medium itself. Remanent noise arising from the permanent micro¬ structure exhibits identifiable features characteristic of that permanent microstructure after practically any magnetic history. See Spatial Noise Phenomena of Longi¬ tudinal Magnetic Recording Media by Hoinville, Indeck and Muller, IEEE Transactions on Magnetics. Volume 28, No. 6, November 1992, the disclosure of which is incorporated herein by reference.
The inventive technique disclosed and claimed herein relies upon the discovery that the microscopic structure of the magnetic medium itself is a permanent random arrangement of microfeatures and therefore deter-
ministic. In other words, once fabricated, the recording medium's physical microstructure remains fixed for all conventional recording processes. In particulate media, the position and orientation of each particle does not change within the binder for any application of magnetic field; in thin film media, the microcrystalline orienta¬ tions and grain boundaries of the film remain stationary during the record and reproduce processes. It is the magnetization within each of these fixed microfeatures that can be rotated or modified which forms the basis of the magnetic recording process. If a region of a magnet¬ ic medium is saturated in one direction by a large ap¬ plied field, the remanent magnetization depends strongly on the micro-structure of the medium. This remanent state is deterministic for any point on the recording surface. Each particle or grain in the medium is hun¬ dreds to thousands of Angstroms in dimension. Due to their small size, a small region of the magnetic surface will contain a very large number of these physical enti- ties. While the fabrication process normally includes efforts to align these particles, there is always some dispersion of individual orientations. The actual devia¬ tions will be unique to a region of the medium's surface making this orientation deterministic and making its effects susceptible to elimination. As can be appreciat¬ ed by those of ordinary skill in the art, noise reduction enables increase in storage capacity, increase in data rates, and eases the burden on transducers, medium, and system design and fabrication. Although this discovery has been made by the inventors herein, noise reduction techniques based on this discovery have not been implemented. As this noise component of remanent noise is deterministic, it may be reliably repeated and measured at any particular point on a magnetic medium. Accordingly, the inventors have de¬ veloped several techniques which take advantage of this
fact for producing uncorrupted pre-recorded signals which may be played back by any playback device but which, when played back, have already been compensated for the rema¬ nent noise component. In other words, a magnetic record- ing may be recorded at the factory with a signal which has been first compensated for remanent noise such that as the signal is played back later the playback signal or read signal has the remanent noise component virtually eliminated. As the remanent noise component may very well be the most significant factor in noise emanating from pre-recorded magnetic media, this noise reduction technique may very well provide a dramatic reduction in noise with no required modification to the tremendous number of playback machines presently in the public's hands. This would include playback machines for the entertainment industry, etc. In a first embodiment of the invention, the remanent noise is first determined and the recording device compensates the original signal for the remanent noise before writing the compensated signal on the magnetic medium. These steps may be readily achieved with conventional recording transducers, as explained herein. Consequently, very little, if any, modification to existing recording equipment need be made to achieve these noise compensated recordings. A second methodology will also create uncorrupted pre-recorded signals on magnetic medium. With this meth¬ od, the signal is first written on the magnetic medium, the written signal is then read from the magnetic medium, this read signal is then compared with the original sig- nal. The differences therebetween are determined to be noise, the greatest component of which is deterministic medium noise. The original signal is compensated to eliminate this noise before being recorded back at the same location on the magnetic medium. Thus, after the compensated signal has been recorded onto the magnetic medium, any other readback or playback machine would then
produce a signal which has been compensated for remanent noise.
In still another embodiment of the present inven¬ tion, the inventors have developed a methodology for compensating a signal read from a magnetic medium for remanent noise in real time. This methodology permits a playback device to be manufactured and sold which can play back pre-recorded magnetic medium which has not itself been compensated prior to recording, and produce a signal which is compensated on readback. With this meth¬ od, the signal is first read from the magnetic medium, the remanent noise is determined for said magnetic medi¬ um, such as by saturating the magnetic medium and reading the remanent noise directly therefrom, and the signals are then compared to eliminate the noise from the origi¬ nal corrupted signal prior to use. As determining the remanent noise, as envisioned by the inventors, involves destroying the original recorded signal when the medium is saturated, another step to the method may well include re-recording either the original signal or its compensat¬ ed counterpart. Thus, with this methodology, a playback device may take a pre-recorded magnetic medium whose signal has not been compensated, and transform it into a magnetic medium with a compensated signal recorded there- on such that further playbacks of the same magnetic medi¬ um would possibly not require compensation. With this methodology, if implemented in one alternative embodiment thereof, a user with a suitable playback machine may very well transform his entire collection of recorded media from non-compensated to compensated magnetic media. In other words, one may readily convert a collection of analog cassette tapes having original non-compensated signals thereon to a collection of analog cassette tapes having compensated signals recorded thereon which may then be played back by any playback device and produce
what should be an enhanced signal because of the noise reduction.
In essence, the present invention is elegantly simple and adapted for implementation by conventional re- cording transducers as are commonly found and used in virtually every read or read/write device presently uti¬ lized by the public at large. Such examples include cassette players, magneto-optic disc players, and VCRs. In its simplest implementation, a conventional recording transducer need merely DC saturate a specified portion of a magnetic medium, and then "read" or "play back" the remanent noise which remains. This remanent noise, which is an analog signal, may then be used to compensate an original signal, such as a musical program, dramatic reading, etc.
While the principal advantages and features of the invention have been described above, and a number of examples given, a greater understanding of the invention may be attained by referring to the drawings and the description of the preferred embodiment which follow. Brief Description of the Drawings
Figure 1 is a magnified representative depiction of the microscopic structure of a region of magnetic medium; Figure 2 is a magnified depiction of several tracks of a magnetic medium having microscopic structure representatively shown thereon;
Figure 3 depicts three conventional recording transducers and a magnetic medium traveling thereunder; Figure 4 is a perspective view of a magneto-optic disc player with a magneto-optic disc in its tray;
Figure 5 is a cassette player depicting a cassette tape for play therein;
Figure 6 is a perspective view of a VCR with a tape ready for insertion;
Figure 7 is a schematic diagram of the write-read- write embodiment of the invention; and
Figure 8 is a block diagram of the electronics shown in Figure 7. Detailed Description of the Preferred Embodiment
As shown in Figure 1, a region of magnetic medium 20 is built up with a plurality of macrocrystalline structures 22 in a random pattern. This microcrystalline structure 22 is comprised of particles or grains varying from hundreds to thousands of Angstroms in diameter. The view of Figure 1 is greatly enlarged and magnified in order to depict this physical phenomena. As shown in Figure 2, this microcrystalline structure extends throughout the magnetic medium even though the magnetic medium 24 shown in Figure 2 may be itself comprised of tracks 26, 28, 30 as well known in the art.
Referring now to Figure 3, a plurality of conven¬ tional recording transducers 32, 34, 36 are shown mounted in a transducer transport 37 with a traveling magnetic medium 38 controllably driven past recording transducers 32, 34, 36 all as is well known in the art. Recording transducers 32-36 are all connected to electronic cir¬ cuitry 40, as well known in the art, to control and read their input and output and further process signals for playback or other use. Although only three transducers 32, 34, 36 are being shown in Figure 3, it will be well understood to those of ordinary skill in the art that a plurality of recording transducers of any number may just as easily be provided and, as taught herein, may be re- quired in order to effect the purposes of the present invention. In implementing the present invention, the recording transducers 32-36 as shown in Figure 3 may be considered as part of a device which is used to create pre-recorded magnetic medium with remanent noise compen- sated recordings. Alternately, the device shown in Fig¬ ure 3 may be considered as a playback unit of either a
specialized playback device with means for creating a remanent noise compensated signal from a non-compensated pre-recorded signal, or a standard playback device which may be used to play back a remanent noise compensated magnetic medium. All of these functions are achieved with conventional recording transducers and therefore are readily implemented using existing and available technol¬ ogy.
A remanent noise compensated signal may be pre- recorded onto a magnetic medium by utilizing the follow¬ ing method. The remanent noise of the magnetic medium may first be determined by DC saturating the medium and then reading the remanent noise with a conventional re¬ cording transducer. This would take transducer 32 to saturate the medium and transducer 34 to read the rema¬ nent noise. The original signal would then be compensat¬ ed, using conventional compensation circuits as is well known in the art to modify the original signal such that it may then be recorded by recording transducer 36. In this manner, using this method and device as shown in Figure 3, a pre-compensated recording, pre-compensated for remanent noise, may be created on magnetic medium 38. While there is a fixed and close spacing between trans¬ ducers 32-36, the remanent noise is itself capable of being used for indexing the transducers 32-36 to thereby ensure that the compensated signal is recorded by trans¬ ducer 36 for the remanent noise which in fact appears at that point on the magnetic medium for which said compen¬ sation has been made. This is because, as explained earlier herein, while the remanent noise is random, it is unique to any particular point on the magnetic medium and thus can be used to identify such point for benchmark purposes. While this is the perferred embodiment, it should be understood that the remanent noise is always there, whether the medium has been recorded over or not. Therefore, it is not strictly necessary that the speci-
fied portion of medium containing the remanent noise be DC saturated, or DC saturated in the same polarity in order to obtain the remanent noise.
In a variation of the first embodiment hereof, still another methodology may be used to create a pre¬ recorded magnetic medium having a signal recorded thereon which is remanent noise compensated. This second embodi¬ ment involves the steps of first writing the original signal on the magnetic medium, such as for example by transducer 32 in Figure 3, reading the recorded signal from said magnetic medium such as by transducer 34, com¬ paring the read signal with the original signal to deter¬ mine the differences therebetween, compensating the orig¬ inal signal, and then writing the compensated signal with transducer 36. Using this methodology, as with the first embodiment of the present invention, magnetic medium 38 would thus receive a recorded signal which has been com¬ pensated for the remanent noise inherent in the magnetic medium 38. These compensated recordings may then be played back by any conventional playback device and pro¬ duce a signal which is noise compensated. This is impor¬ tant as with this implementation of this embodiment, uncorrupted copies or noise compensated copies of pre¬ recorded signals may be produced and made available for play back by the large number of playback devices already in the public's hands. This could very well be imple¬ mented for improving the pre-recorded playback of musical and dramatic programs on magneto-optic discs, cassette tapes (analog and digital), and VCR video tapes. The inventors have developed a generalized model with an algorithm for implementing the write-read-write embodiment of the present invention. This generalized model is explained in Exhibit A. As noted therein, and referring to Figure 3 thereof, this generalized model compensates for additive medium noise and explains a design approach for implementing this embodiment with a
silicon tap delay line. As shown in Figure 3 of Exhibit A, the signal s-^t) is processed by a write head, repre¬ sented by h(t) onto a magnetic medium. As it is written, the signal is corrupted by two kinds of medium noise, non-repeatable medium noise nx(t) and repeatable additive medium noise nd(t). This corrupted signal is then read by a read head which processes it as represented by a func¬ tion g(t). In order to determine the error function portion of the signal, the signal s-^ ) is processed as represented by a function b(t) which is the equivalent of a write and read function, and then subtracted from the output of the read head. Additionally, an electronics noise signal wx(t) is added to represent the electronics noise. The result is an error function e(t) which is representative of the total noise introduced in the sig¬ nal s-^t) by a write and read function. Next, the error function e(t) is then processed by a filter function c(t) which is the inverse of the noise expected to be added by a later write and read function. Finally, the output of the filter function c(t) is subtracted from the data signal (t) and a write head processes this signal with the function h(t) to record it onto a magnetic medium where it again suffers corruption through the two kinds of magnetic medium noise, repeatable additive medium noise nd(t) and also non-repeatable medium noise n2(t). At this point in the model, a signal desired to be re¬ corded, s(t) has been recorded in a precompensated manner as the function c(t) subtracts out the effects of the write function, a later expected read function and the expectedjcrepeatable additive medium noise nd(t). As the magnetic medium is then read by a read head and the sig¬ nal processed with the function g(t), a signal output y(t) is produced which is clearly compensated for.
Computer simulations have been run on this method- ology utilizing the mathematical solutions for the vari¬ ous components of the system. As indicated at page 9 of
Exhibit A as well as Figures 5-7 of Exhibit A, the precompensation model disclosed therein with the write- read-write scheme yields a reduction in noise power on average. The amount of the reduction depends on the ratio between the repeatable noise power and all other noise. A distribution of noise powers is shown in Exhib¬ it Figure 5 for 1,000 runs demonstrating the significant¬ ly decreased noise levels expected for recording with signal precompensation. Exhibit Figures 6 and 7 further demonstrate the improved signal wave form which is also achieved.
Further explanation of this write-read-write embodiment of the present invention is found in Figures 7 and 8. As shown in Figure 7, a first write head 102 writes the signal sx(t) on the medium 104. The recorded signal is then read by read head 106 which produces an output y-^t) to an electronics circuit 108, as explained in Figure 8. The electronics 108 produces a compensated data signal which is then written by write head 110 back on the magnetic medium 104. The write head 110 thus writes a precompensated version of the data signal s(t) which, after being read by another read head (not shown) produces an output of data signal s(t) which has been compensated for additive repeatable magnetic noise. As shown in Figure 8, the electronics 108 includes an adder 112 which subtracts an output signal d(t) from ideal channel 114 having a function b(t) which processes the diagnostic signal sx(t) as equivalent to a write and read function. Diagnostic signal generator 115 processes the data signal s(t) to produce the diagnostic signal s-^t). For example, s.(t) could be a DC saturation sig¬ nal. The output of adder 112 produces an error signal e(t) which is then compensated by compensation filter 116 through a signal transformation function c(t). As ex- plained above, the compensation filter function c(t) is the inverse of the noise expected to be added by a write
and read function. A second adder 118 subtracts the output of compensation filter 116 from the data signal s(t) to produce a signal which corresponds to a pre- compensated data signal for writing onto the magnetic medium by write head 110. As noted above, the general¬ ized model and algorithm for each of the functions in¬ cluded in Figures 7 and 8 may be readily determined by one of ordinary skill in the art from the equations given in Exhibit A. In still another implementation of the noise compensation methodology of the present invention, a playback device may be manufactured and sold which is capable of producing a noise compensated signal from recordings on magnetic media which have not been noise compensated. In this embodiment of the present inven¬ tion, the signal is first read, such as by recording transducer 32 in Figure 3, the remanent noise is then determined such as by saturating the magnetic medium with a signal from transducer 34 and reading the remanent noise with transducer 36, and then the original signal would be compensated with said remanent noise prior to playback or other processing. Although not specifically shown, a fourth transducer may be provided to re-record either the original signal or the compensated signal back on the magnetic medium 38 for subsequent playback. With this device and method, conventional recordings on mag¬ netic media may be compensated for remanent noise prior to playback. Also, perhaps while being played, magnetic media may be transformed from uncompensated to noise compensated recordings. Thus, with this implementation, a device may be made and sold for use with the vast in¬ ventory of pre-recorded magnetic media presently in the public's hands.
In still another implementation of the present invention, the unique remanent noise pattern may be used as a benchmark to locate a transducer at a particular
position in a magnetic medium. For example, for editing purposes, and as previously explained above, the conven¬ tional recording transducers 32-36 as shown in Figure 3 could be readily used to determine the remanent noise at a particular position on the magnetic medium 38. This could then be used to reposition the transducers 32-36 at the start or finish of an edit, or otherwise to precisely position a conventional recording transducer with respect to the magnetic medium. This application would provide significant advantages in dubbing, etc. which is commonly used for taking rough cuts of many kinds of programs and editing them for final production. For that matter, editing is used in a large number of applications too numerous to mention herein. In each of these applica- tions, it is desired to accurately and reliably reposi¬ tion a recording transducer to ensure the continuity of the signal and program through the discontinuity created by the editing process. As the inventors' methodology provides a convenient and simple way to most accurately determine the exact position on a magnetic medium, and to find that exact position, the present invention provides a unique and novel way to position a recording transducer for editing.
As shown in Figure 4, a magneto-optic disc player 64 has a magneto-optic disc 66 in its tray 68 ready for play. As explained herein, a magneto-optic disc player 64 may play back remanen- noise compensated magneto-optic discs 66. Furthermore, although not presently commer¬ cially available for home use, magneto-optic disc players 64 may soon be available which are capable of recording onto magneto-optic discs 66. In such event, all of the embodiments of the present invention may be implemented such that magneto-optic discs 66 may be noise compensated when played back, even though its original signal was not recorded in a noise compensated format, and CD player 64
used to re-record a noise compensated signal back onto magneto-optic disc 66.
Similarly, a cassette player 72 as shown in Figure 5 has a cassette 70 being inserted therein for play. This magnetic medium is also susceptible to implementa¬ tion of the inventors' methodologies to enhance the re¬ cord and/or playback of cassette 70 in remanent noise compensated format.
A last example of an implementation of the in- ventors' methodologies is shown in Figure 6 and includes a VCR 74 with a video tape cassette 76 being inserted therein. As the video tape cassette 76 is a magnetic medium, it is also susceptible to the noise compensation methodologies disclosed and claimed herein. There are various changes and modifications which may be made to the invention as would be apparent to those skilled in the art. However, these changes or modifications are included in the teaching of the disclo¬ sure, and it is intended that the invention be limited only by the scope of the claims appended hereto.
EXHIBIT A
Magnetic Recording System Design to Reduce Medium Noise Through Signal Precompensation
Joseph A. 0' Sullivan
Dakshi Agrawal
Donald G. Porter
Ronald S. Indeck
Marcel W. Muller
Department of Electrical Engineering Washington University St. Louis, MO 63130
ABSTRACT
Much of the noise in magnetic recording systems is due to intrinsic properties of the magnetic medium itself. Much of this noise is repeatable in that identical waveforms recorded in the same place on the medium (with an erasure in between) have highly corre¬ lated noise. This effect is exploited in the present paper through the design of systems to estimate and subsequently correct the distortion of the recorded waveform due to medium noise. The approach may be applicable to other storage channels whose noise is medium dependent such as magneto-optic media. A method for optimally reducing repeatable addi¬ tive medium noise is proposed. Simulations of this system have been run and the results are promising.
1. Introduction
Most models of magnetic recording channels use a traditional communication theory model as shown in figure 1. The channel is the magnetic medium. The medium may corrupt the signal, and if modeled as additive noise, average statistics of this medium noise may be estimated and used in system design to improve the performance of the system. Other sources of noise include receiver noise and head noise, Even when these latter two noise sources are considered, the medium noise limits the system performance. The authors have developed models for magnetic media [1,2] as have others (3,4,5,6,7]. These models account for the fact that medium noise arises from the microscopic properties of the record¬ ing medium. These properties are deterministic once the medium is manufactured. While it is infeasible to have a complete microscopic scan of the medium for use in signal design, it may be possible to measure local medium features on-line and to use those features when designing the recorded signal. This strategy accounts not only for the average effects of the medium, but also for local effects,
The proposed strategy is to make on-line measurements of the medium noise and then to use these measurements in signal design. Possible ways to accomplish this strategy are discussed below. They may be classified as "write-read-write" recording strategies. First a diagnostic signal is written on the medium, second the resulting magnetization pattern is read, and third an information carrying signal is recorded. The design of the second written signal depends on the model for the medium noise.
Figure 1. Traditional model for a magnetic recording system. This figure is from the Introduction to the Special Issue on Coding for Storage Devices, IEEE Transactions on Information Theory, vol. 37, Hay 1991, p. 709.
There is no generally accepted model for the medium noise. There is some evidence that the medium noise has a large multiplicative portion. This does not adequately account for medium noise when the medium is demagnetized, however. Some initial simulations using our medium model indicate greater variability of the written magnetization in the demagnetized case than when a strong unidirectional magnetic field has been applied. This seems to be consistent with measurements from magnetic media. It should be noted that the noise in the demagnetized case is correlated with the previous signal written; however, presently we are not including previously written signals when modeling the magnetization resulting from writing a new signal. While our medium model has been useful for computing the capacity of magnetic media, it has not yet been used for designing magnetic recording systems, Presently our medium model is being used to analyze medium noise in received voltage waveforms [8],
The approach here is based on simplified models for the effects of medium noise. As we gain experience with this approach and as more sophisticated models become available, we will use them.
2. Write-Read-Write Precompensation. Additive Noise Case
We begin the analysis for this scheme with a linear approximation to the recording pro¬ cess. Recognizing that the process is inherently nonlinear, we anticipate that the approach presented here must be improved by using a more accurate nonlinear model for the recording system. Due to the speed of electronics, the approach proposed holds the possibility of being implemented in silicon.
Shown in Figures 2 is a block diagram description of the write-read-write recording pro¬ cess. Figure 2 shows three heads flying over a magnetic medium. The first records a diag¬ nostic signal Sχ jt). The second reads the resulting magnetization on the medium. Third, a signal that has been computed by the electronics and includes the desired signal and compen¬ sation for the medium noise is written onto the medium. When the information is read at a later time, the signal-to-noise ratio will be significantly higher, resulting in better recovery of the desired signal. The crucial design of the electronics block is based on a model for the manner in which the medium noise is manifested. The discussion in this paper is based on an additive model for the medium noise.
Shown in Figure 3 is an approximate linear model of a magnetic recording system. In this system, all blocks are assumed to be linear and time-invariant, all random processes are assumed to be wide-sense stationary. A diagnostic signal . (0 is written using the write head (Jι(t)), medium noise is added (nd(t) + nχ(t)), the signal is read (g( ) introducing electronics noise w^t)). There may be an equalizer in the system and this is incorporated into h(i) or jj(t) as appropriate, Th desired channel response is d(t). We assume here that Kt) - (g * Λ)(t) (where * denotes convolution). Denoting the output of g(i) plus Wι(t) by y,(t), the error signal e(t) = yj(t) - (jb * Sι)(r) equals the part of the received voltage wave¬ form due to system noise. The noise has a repeatable component, nd(t), due to the medium, and two unrepeatable components, nj(/) due to the medium, and Wι(t) due to the electronics. The goal is to compensate for the repeatable component To do this, c(t) is filtered, sub¬ tracted from 5(t), the information-bearing signal to be recorded, then recorded with the write head again. Physically, a signal is written on the medium then read; the desired signal, d(t), computed electronically, is subtracted from this signal producing the error signal β(t); then the new signal (s t) - (c * e)( ) is written at the same place on the medium.
18
Figure 3. Approximate linear model Tor the magnetic recording channel. This model includes wide sense stationary additive Gaussian noise components. There are two input signals sl(t), a diagnostic signal, and s(t), an information bearing signal. The repeatable medium noise is nd(t).
The design problem may be stated as minimizing the distortion in the waveform y(t) that is eventually read due to the repeatable component of medium noise. From this view¬ point, c(t) may be designed from the reduced system shown in Figure 4. In that figure, the information-bearing signal j(t) and the diagnostic signal Sι t) have been removed. Let the distortion be measured in terms of noise power, Then the goal is to design c(t) to πiinimize the signal power in ye(t), the noise component of the output, For any real system design, there will be a constraint class, C, for the c(t) so thai they are realizable. A typical constraint is that it be the output of a transversal filter with a fixed number of taps. The problem state¬ ment becomes min E[l(g * nd){t) - (g * h * c * e)(f)l2]. (1) c-C
For many constraints, the problem reduces to solving the well-known normal equations. To minimize (1), substitute t) = y,(t) - sxt) = w.(t) + (g * (ti, +nrf))(t) . (2)
Computing the expected value, the problem statement (2) reduces to min[(c * e * q)(0) - 2(c * p)(0)] , (3) ceC where for any signal /(t), f(t) = /(-t), q(t) ~- {b * b * (.Rm, + g * g * (Rdd + Rnn)) t), (4) p(t) = {g * S* Rdd){t), (5)
Kt) = (g * hχt), and
and nd(t), respectively (i = 1 or 2).
The unconstrained solution to (3), if it exists is
where P(_ω) and Q(ω) zie the Fourier transforms of p(t) and q(t), respectively, and the sub¬ script u in cu(t) represents the fact that this is an unconstrained optimum solution. This may not exist because Q{ώ) may have zeros. Also, even if this solution exists, it may not be real¬ istically realizable. Usually some type of constraint is added so that the solution for c(t) exists and is well-behaved (easily realizable). In the following section, the constraint of the solution being implementable by a tapped delay line (and thus easily realizable using stan¬ dard VLSI design) is added.
Notice that if all noise were additive and Gaussian, and the unconstrained solution (6) is used, then the limiting increase in capacity is determined by the change in the power spec¬ trum of the channel. As opposed to using a standard writing scheme, the component due to the repeatable medium noise is attenuated. This attenuation increases as the energy of the repeatable component incre- ies relative to the energy of the unrepeatable component. That is, if the power spectrum due to the noise in an uncompensated system is Sy(ω) = Sr(ω) + Su(eo), where Sr(ύ>) is the repeatable component, then the power spectrum of the compensated system is
W-W w w . CD
Note that
here 5W, SM, and S^ are the Fourier transforms of R^, RM, and R^, respectively. The capac¬ ity of the Gaussian channel is then increased; the increase depends on the spectral shapes (that is, system factors such as the g(t), h(t). and the noise levels) and detailed analysis of the standard water-filling capacity formula [9, p. 267]. In our experimental setup, depending on the medium tested, we have found that the repeatable component is one half to nine tenths the total noise power. If all of the repeatable medium noise is adequately modeled as addi¬ tive noise, equation (7) implies a potential increase in signal to noise ratio of 1.2 to 7.2 dB.
3. Tapped Delay Line Implementation
As mentioned in the previous section, the actual implementation would be different from (6). Some realizability constraint must be imposed. One natural constraint (but not the only possible one; other constraints have been considered and the following derivation can easily be modified to account for other constraints) is that the implementation be realized by a tapped delay line. Tapped delay lines (finite impulse response filters with a finite number of coefficients) may be easily built using VLSI technology.
The constraint class is the set of c(t) such that
c( = ∑ c[n)δ(t - nT , (8) πx-n where δ is a Dirac delta function, and T is the time interval between the taps. Let for each integer π, let p[n] ~- p(nT) and q_n] = q(nT) . (9)
The solution for the optimal tap weights is obtained by substituting the form (8) for c(t) into (3), then taking the derivatives with respect to the tap weights c[h]. This results in a set of 2N + 1 equations in the 2N + 1 unknown tap weights c[n]. The equations are
∑q[n -k]c[k] = p[n], for - N ≤ n ≤ N. (10) k
If the values of c[n] and p[ή] are put into vectors c and p, and the values of q[n] are put into the matrix Q such that the n, k entry of Q is q[n - k], then equation (10) may be rewritten compactly as
Qc = p. (U)
This equation may be solved directly to give c^ Q^p . (12)
Alternatively, symmetry properties of q, c, and p may be exploited to reduce the computa¬ tional complexity of the matrix i version rsquircd in (12). These symmetry properties may be slated compacdy -s qlnj
= - p[-ri)_ these imply that the solution for c is odd symmetric so c[ ] = - c[-ή\.
4. Simulations
In this first simulation we made many simplifying assumptions. We assume that the impulse response function h(t) of the write head is δ (t) and the unit step response function of the read head is a Lorcntz pulse. We also assume that head mechanism is precise enough to let us write at a predecided position on the medium.
We assume that all noise sourscs are while and Gaussian. Additive repeatable media noise, head noise and electronic noise are assumed to have total noise power distributed among themselves in the ratio of 8: 1: 1. Total noise power is 10% of the the signal power.
The step response of the read head is given by
Here TS/2 is the half width of the Lorentz pulse. Differentiating this with respect to t we get the impulse response function g(t) of the read head
Taking the Fourier transform of g(i), we get
<?(/) = - jaf ~xp(-b\f\) where a = - π2TS and b - πTS,
Let the sampling rate be /,(=- K/T). Then the energy in the frequencies greater than ftl2 gets aliased. Thus the total aliased energy is
-~~
Ea{fs) = l \ \G( df
where v = π/(2TS) and X = ftb = πSK, K being the number of times (/, = KIT) a bit is being sampled. From the graph of E(X) versus X, it can be concluded that for X = 12 less than 0. 1% energy gets aliased.
In our simulation we choose S - llfi, which represents a fairly high linear density and wc choose K = 10 , at which less than 0.3% of the energy of g t) and less than 4% of the energy of a square wave get aliased, The percentage of the energy of the square wave that gets aliased is high for AT = 10 , however it does not matter in this simulation since by exploiting linearity of the system, we can compute noise powers independently of the signal. Note that g[n], the discretized version of g(t) is nonzero even for large Inl. However it is
monotonically decreasing in magnitude. For our simulation we have truncated g[n) suitably in such a manner that the truncated g[n]; -8 < n < 8; has more than 99% of the energy of the original nontruncated g[ ). Tap weights in the filter c[n] were computed assuming -Iβ ≤ n ≤ lβ.
Simulation results show that under above stated assumptions write-read-write scheme yields 4.74 dB reduction in noise power on the average. Figure 5 compares the noise powers before and after signal precompensation obtained in 1000 runs. Figures 6 and 7 show typical read waveforms obtained by writing the signal without and with compensation.
Figure 5: Comparision between read noise before and after signal precompeπsion
Figure 6: Read signal before signal precompension
Figure 7: Read signal after signal precompension
10
5. Conclusions
Recently, experiments have demonstrated that medium noise has a repeatable compo¬ nent [10]. In this summary we have outlined a strategy for precompensating for local medium effects that are additive through the use of a write-read-write recording protocol. We have also explored the use of more sophisticated models for the effects of medium noise, including multiplicative effects. Initial studies show that for multiplicative noise, the rela¬ tively simple analysis presented above is not adequate. While estimates of the effects of the multiplicative and additive components may be estimated, their optimal use in signal com¬ pensation is complicated.
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