CN103200143A - Bit soft information generating method for 16APSK and 32APSK - Google Patents
Bit soft information generating method for 16APSK and 32APSK Download PDFInfo
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Abstract
The invention provides a bit soft information generating method for 16APSK and 32APSK. The bit soft information generating method for the 16APSK and the 32APSK is characterized in that judgment zone partition methods corresponding to four bits are respectively offered according to 16APSK constellation mapping and bit soft information is generated based on a minimum distance between a received signal and an edge of a judgment zone; and judgment zone partition methods corresponding to five bits are respectively offered according to 32APSK constellation mapping and bit soft information is generated based on the minimum distance between the received signal and the edge of the judgment zone. The bit soft information generating method for the 16APSK and the 32APSK is based on bit judgment zone partition, each piece of the bit soft information is generated through the minimum distance to the edge of the judgment zone, a large amount of numerical computation is not required, complexity of a high order APSK soft information generating scheme is greatly reduced, and system throughput is improved.
Description
Technical field
The present invention relates to satellite communication and broadcasting high-order modulating demodulation field, relate in particular to the bit soft information generation method of a kind of 16APSK and 32APSK.
Background technology
16APSK and 32APSK are because of its high power efficiency characteristic, become the main modulation system of satellite broadcasting (DVB-S2), satellite communication and ground multimedia broadcasting, in actual applications, because of with high efficient coding (as Turbo code, the LDPC sign indicating number) combine, demodulator need be exported bit soft information and be used for decoding.Traditional bit soft information generating mode mainly is divided into two classes, one is based on the method for solving of probability, maximum a posteriori probability (MAP) method and improved MAX MAP method as classics, the soft information that the MAP method is found the solution is the most accurate, complexity is the highest, and MAX MAP improves, and the error performance of its corresponding system has been compared less gap with MAP, 0.2-0.4dB is arranged approximately, but complexity is still very high; Second class is based on received signal points to the method that sends the signal constellation point Euclidean distance, and this method also needs a large amount of quadratic sum square root calculations, its hardware implementation complexity height, and processing speed is slow.
Summary of the invention
The present invention one of is intended to solve the problems of the technologies described above at least to a certain extent or provides a kind of useful commerce to select at least.For this reason, one object of the present invention is to propose the bit soft information generation method of a kind of 16APSK and 32APSK, and this method does not need a large amount of numerical computations, greatly reduces the computation complexity that 16APSK and 32APSK generate bit soft information.
Bit soft information generation method according to the 16APSK of the embodiment of the invention according to the 16APSK constellation mapping, provides the decision region division methods of 4 bit correspondences respectively, generates bit soft information based on receiving the minimum range of signal to the decision region border.
In one embodiment of the invention, may further comprise the steps: S1: generate the 16APSK gray mappings planisphere about horizontal longitudinal axis symmetry that transmit leg adopts; S2: according to 0/1 value of each bit of 16APSK, generate the decision region of each bit correspondence, the influence that is not subjected to other bits is divided in the zone of declaring firmly of each bit; S3: according to the symmetry characteristic of decision region, further divide the decision region of each bit, it is identical that the bit soft information in each the little decision region that is divided into generates scheme; And S4: based on receiving the minimum range of signal to the judgement territory, generate the soft information of each bit.
Bit soft information generation method according to the 32APSK of the embodiment of the invention according to the 32APSK constellation mapping, provides the decision region division methods of 5 bit correspondences respectively, generates bit soft information based on receiving the minimum range of signal to the decision region border.
In one embodiment of the invention, may further comprise the steps: S1': generate the 32APSK gray mappings planisphere about horizontal longitudinal axis symmetry that transmit leg adopts; S2': according to 0/1 value of each bit of 32APSK, generate the decision region of each bit correspondence, the division of the hard critical region of each bit is not subjected to the influence of other bits; S3': according to the symmetry characteristic of decision region, further divide the decision region of each bit, it is identical that the bit soft information in each the little decision region that is divided into generates scheme; And S4': based on receiving the minimum range of signal to the judgement territory, generate the soft information of each bit.
The present invention is based on received signal points to the difference of decision region border minimum range method for expressing, divide decision region to planisphere in detail according to the bit value early stage, declare firmly, generate received signal points to the distance of all decision region, choose the soft information that minimum value is represented this this bit of signaling point.To each symbol that receives, directly provide the soft value of information of its corresponding decision region, and do not need a large amount of numerical computations, greatly reduce the computation complexity that 16APSK and 32APSK generate bit soft information, improved throughput of system.
Description of drawings
Above-mentioned and/or additional aspect of the present invention and advantage are from obviously and easily understanding becoming the description of embodiment in conjunction with following accompanying drawing, wherein:
Fig. 1 is that the bit soft information of 16APSK generates method flow diagram;
Fig. 2 is the accurate and approximate judgement territory planisphere of 16APSK;
Fig. 3 is the bit decision territory of the 0th of 16APSK;
Fig. 4 is the bit decision territory of the 1st of 16APSK;
Fig. 5 is the bit decision territory of the 2nd of 16APSK;
Fig. 6 is the bit decision territory of the 3rd of 16APSK;
Fig. 7 is the bit soft information product process block diagram of the 2nd of 16APSK;
Fig. 8 is the bit soft information product process block diagram of the 3rd of 16APSK;
Fig. 9 is that the bit soft information of 32APSK generates method flow diagram;
Figure 10 is the accurate and approximate judgement territory planisphere of 32APSK;
Figure 11 is the bit decision territory of the 0th of 32APSK;
Figure 12 is the bit decision territory of the 1st of 32APSK;
Figure 13 is the bit decision territory of the 2nd of 32APSK;
Figure 14 is the bit decision territory of the 3rd of 32APSK;
Figure 15 is the bit decision territory of the 4th of 32APSK;
Figure 16 is the bit soft information product process block diagram of the 3rd of 32APSK; And
Figure 17 is the bit soft information product process block diagram of the 4th of 32APSK.
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein identical or similar label is represented identical or similar elements or the element with identical or similar functions from start to finish.Be exemplary below by the embodiment that is described with reference to the drawings, be intended to for explaining the present invention, and can not be interpreted as limitation of the present invention.
Below in conjunction with accompanying drawing the embodiment of the invention is elaborated.Wherein, bit value is that 0 soft information is represented with negative value, and bit value is that 1 soft information is used on the occasion of representing.
Fig. 1 is that the bit soft information of 16APSK generates method flow diagram, may further comprise the steps:
S1: generate the 16APSK gray mappings planisphere about horizontal longitudinal axis symmetry that transmit leg adopts.
S2: according to 0/1 value of each bit of 16APSK, generate the decision region of each bit correspondence, the influence that is not subjected to other bits is divided in the zone of declaring firmly of each bit.
S3: according to the symmetry characteristic of decision region, further divide the decision region of each bit, it is identical that the bit soft information in each the little decision region that is divided into generates scheme.
S4: based on receiving the minimum range of signal to the judgement territory, generate the soft information of each bit.
For making those skilled in the art understand the present invention better, below in conjunction with Fig. 2 to Fig. 8 Fig. 1 is elaborated.
The embodiment of the invention adopts approximate accurate judgement territory, as shown in Figure 2.This decision method can simply be judged the constellation point zone that it is corresponding according to amplitude and the phase place of receiving symbol.According to the constellation mapping that Fig. 2 provides, generate the bit decision territory of each bit of 16APSK, extremely shown in Figure 6 as Fig. 3.Below in conjunction with Fig. 3 to Fig. 8, illustrate that respectively the soft information of each bit of 16APSK generates scheme.The inner ring radius of supposing the 16APSK planisphere is R1, and the outer ring radius is R2, and Rd=(R1+R2)/2 is the interface of inner ring and outer ring, and the bit of 16APSK is respectively b3, b2, b1 and b0 from high to low.
1, generates the soft information of b0
As shown in Figure 3, as the quadrature component r that receives signal
Q≤ 0, transmitting terminal sends b0=0.Otherwise, as the quadrature component r that receives signal
Q0, transmitting terminal sends b0=1, and then the soft information of b0 can be expressed as: L (b
0)=r
Q
2, generate the soft information of b1
As shown in Figure 4, as the in-phase component r that receives signal
I≤ 0, transmitting terminal sends b1=0.Otherwise, as the in-phase component r that receives signal
I0, transmitting terminal sends b1=1, and then the soft information table of b1 is shown: L (b
1)=r
I
3, generate the soft information of b2
As shown in Figure 5, its judgement territory more complicated, Fig. 7 is the bit soft information product process block diagram of the 2nd b2 of 16APSK, wherein, adopts
Expression receives the amplitude information of signal, adopts ρ=r
Q/ r
IRepresent its phase information.Be elaborated below in conjunction with the Fig. 7 of Fig. 5.
Step 701: analysis chart 5 as can be known, the bit decision territory of b2 is about I axle and Q axial symmetry, so at first receiving symbol is carried out following processing: Rx_symbol=abs (r
Q)+i*abs (r
I), thereby all sign map that will receive and then only need be analyzed first quartile and get final product to first quartile.
Step 703: calculate the amount that characterizes the amplitude that receives signal
Amount ρ=r with phase place
Q/ r
I
Step 705: whether judge the amplitude of signal less than Rd, determine that signal still is the outer ring constellation point corresponding to the inner ring constellation point.If signal amplitude is less than Rd, then execution in step 707, if signal amplitude greater than Rd, then execution in step 713.
Step 707: whether judge its phase place less than π/6, if less than π/6, then execution in step 709, otherwise execution in step 711.
Step 709: ρ less than
, as shown in Figure 5, signal drops on the OAB district, is some B from the nearest decision region border of this regional signal point (or point), and therefore the distance of ordering to B with receiving symbol is represented the soft information of this regional symbol b2, is negative value, that is:
Wherein, b
Q=Rdcos (π/6) and b
I=Rdsin (π/6) represents real part and the imaginary part that B is ordered respectively.
Step 711: ρ greater than
Therefore, as shown in Figure 5, signal drops on the OBC district, is the disc of Rd from the nearest decision region border of this regional signal point (or point) for radius, is the soft information that the distance of the disc of Rd is represented this regional symbol b2 with receiving symbol to radius, is negative value, that is: L (b
2)=r-Rd.
Step 713: whether judge its phase place less than π/6, if less than π/6, then execution in step 715, otherwise execution in step 717.
Step 715: ρ less than
, as shown in Figure 5, signal drops on the ABED district, from the nearest decision region border of this regional signal point for being the round ray of π/6 to phase place, this is with π that signal is turned clockwise/6 backs equate to the distance of real axis, and the latter namely is the imaginary values of rotation back symbol, is negative value.Therefore, the soft information of this regional symbol b2 can be expressed as: L (b
2)=imag (Rx_symbolexp (π/6)).
Step 717: if ρ greater than
As shown in Figure 5, signal drops on the BCFE district, be the disc of Rd or the round ray that phase place is π/6 from the nearest decision region border of this regional signal point (or point) for radius, with receiving symbol to radius be Rd disc distance and be the soft information that the smaller represents this regional symbol b2 in the distance of round ray of π/6 to phase place, for on the occasion of, that is: L (b
2)=min ((r-Rd), imag (Rx_symbolexp (π/6))).
4, generate the soft information of b3
As shown in Figure 6, its judgement territory also needs according to dividing to the difference of the minimum range method for expressing of adjudicating the plane, and Fig. 8 is the bit soft information product process block diagram of the 3rd b3 of 16APSK.Because the bit decision territory of b3 also about I axle and Q axial symmetry, gets final product so only need analyze the soft information generation of first quartile scheme, and owing to when generating the soft information of b2, receiving symbol is mapped to first quartile, so need not to shine upon again.Be elaborated below in conjunction with the Fig. 8 of Fig. 6.
Step 801: calculate the amount that characterizes the amplitude that receives signal
Amount ρ=r with phase place
Q/ r
I
Step 803: whether judge the amplitude of signal less than Rd, determine that signal still is the outer ring constellation point corresponding to the inner ring constellation point.If the amplitude of signal is less than Rd, then execution in step 805, otherwise execution in step 811.
Step 805: judge that whether its phase place is less than π/3, i.e. ρ=r
Q/ r
IWhether less than
If its phase place is less than π/3, then execution in step 807, otherwise execution in step 809.
Step 807: as shown in Figure 6, therefore signal drops on the OAB district, is the disc of Rd from the nearest decision region border of this regional signal point (or point) for radius, is the soft information that the distance of the disc of Rd is represented this regional symbol b3 with receiving symbol to radius, be negative value, that is: L (b
3)=r-Rd.
Step 809: as shown in Figure 6, signal drops on the OBC district, and for radius is some B, therefore the distance of ordering to B with receiving symbol is represented the soft information of this regional symbol b3, is negative value, that is: from the nearest decision region border of this regional signal point (or point)
, wherein, b
Q=Rdcos (π/3) and b
I=Rdsin (π/3) represents real part and the imaginary part that B is ordered respectively.Because this judgement territory is 0 territory, so this bit soft information is negative value.
Step 811: judge that whether its phase place is less than π/3, i.e. ρ=r
Q/ r
IWhether less than
If its phase place is less than π/3, then execution in step 813, otherwise execution in step 815.
Step 813: as shown in Figure 6, signal drops on the ABED district, be the disc of Rd or the round ray that phase place is π/3 from the nearest decision region border of this regional signal point (point) for radius, and the latter is the negative value of the imaginary part behind is-symbol rotation π/3, with receiving symbol to radius be Rd disc distance and be the soft information that the smaller represents this regional symbol b3 in the distance of round ray of π/3 to phase place, for on the occasion of, that is: L (b
3)=min (r-Rd ,-imag (Rx_symbolexp (π/3))).
Step 815: as shown in Figure 6, signal drops on the BCFE district, is the round ray of π/3 from the nearest decision region border of this regional signal point (point) for phase place, and then the soft information of this regional symbol b3 is negative value, can be expressed as: L (b
3The imag of)=-(Rx_symbolexp (π/3)).
By adopting such scheme, provided the soft information of each bit of 16APSK.
Fig. 9 is that the bit soft information of 32APSK generates method flow diagram, may further comprise the steps:
S1': generate the 32APSK gray mappings planisphere about horizontal longitudinal axis symmetry that transmit leg adopts.
S2': according to 0/1 value of each bit of 32APSK, generate the decision region of each bit correspondence, the influence that is not subjected to other bits is divided in the zone of declaring firmly of each bit.
S3': according to the symmetry characteristic of decision region, further divide the decision region of each bit, it is identical that the bit soft information in each the little decision region that is divided into generates scheme.
S4': based on receiving the minimum range of signal to the judgement territory, generate the soft information of each bit.
For making those skilled in the art understand the present invention better, below in conjunction with Figure 10 to Figure 17 Fig. 9 is elaborated.
The embodiment of the invention adopts approximate accurate judgement territory, as shown in figure 10.The constellation mapping of the 32APSK that provides according to Figure 10 generates the bit decision territory of each bit of 32APSK, as Figure 11 to shown in Figure 15, thereby obtain the soft information calculations scheme of each bit of 32APSK by the method for finding the solution judgement territory minimum range.Below in conjunction with Figure 11 to Figure 17, illustrate that respectively the soft information of each bit of 32APSK generates scheme.The inner ring radius of supposing the 32APSK planisphere is R1 ', the centre circle radius is R2 ', the outer ring radius is R3 ', Rd1=(R1 '+R2 ')/2 are the interface of inner ring and centre circle, Rd2=(R2 '+R3 ')/2 are the interface of centre circle and outer ring, and the bit of 32APSK is respectively b4 ', b3 ', b2 ', b1 ' and b0 ' from high to low.
1, generates the soft information of b0 '
As shown in figure 11, as the quadrature component r that receives signal
Q'≤0, transmitting terminal sends b0 '=0, otherwise, as the quadrature component r that receives signal
Q' 0, transmitting terminal sends b0 '=1, and then the soft information of b0 ' can be expressed as: L (b0 ')=r
Q'.
2, generate the soft information of b1 '
As shown in figure 12, as the in-phase component r of receiving symbol
I'≤0, transmitting terminal sends b1 '=0, otherwise, as the in-phase component r that receives signal
I' 0, transmitting terminal sends b1 '=1, so the soft information table of b1 ' is shown: L (b1 ')=r
I'.
3, generate the soft information of b2 '
As shown in figure 13, the soft information of the b2 ' of all symbols all can be expressed as the distance that the receiving symbol radius is the disc of Rd2, that is: L (b2 ')=r '-Rd.
4, generate the soft information of b3 '
Figure 14 is the bit decision territory of the 3rd b3 ' of 32APSK, and Figure 16 is the bit soft information product process block diagram of the 3rd b3 ' of 32APSK, adopts
Characterize the amplitude information that receives signal, adopt ρ '=r
Q'/r
I' characterize the phase information that receives signal, be elaborated below in conjunction with the Figure 16 of Figure 14.
Step 1601: analyze Figure 14 as can be known, the bit decision territory of b3 ', gets final product thereby only need analyze first quartile so at first receiving symbol is mapped to first quartile about I axle and Q axial symmetry.Namely carry out following processing:
Rx_symbol′=abs(r
Q′)+i′*abs(r
I′)。
Step 1603: calculate the amount that characterizes the amplitude that receives signal
Amount ρ '=r with the characterization signal phase place
Q'/r
I'.
Step 1605: judge the amplitude r ' of signal, determine that signal is corresponding to planisphere inner ring, centre circle or outer ring.If r '<Rd1, execution in step 1607, if Rd1<=r '<Rd2, if execution in step 1613 is r ' 〉=Rd2, execution in step 1621.
Step 1607: whether judge its phase place less than π/6, i.e. ρ '=r
Q'/r
I' whether less than
. if its phase place is less than π/6, and then execution in step 1609, otherwise execution in step 1611.
Step 1609: as shown in Figure 14, signal drops on the OAB district, is some B from the nearest decision region border of this regional signal point (point), and therefore the distance of ordering to B with receiving symbol is represented the soft information of b3 ' of this regional symbol, is negative value, that is:
Wherein, b
Q'=Rd1cos (π/6) and b
I'=Rd1sin (π/6) represents real part and the imaginary part that B is ordered respectively.
Step 1611: as shown in Figure 14, signal drops on the OBD district, be the disc of Rd1 for radius from the nearest decision region border of this regional signal point (point), therefore be the soft information of b3 ' that the distance of the disc of Rd1 is represented this regional symbol with receiving symbol to radius, be negative value, that is: L (b3 ')=r '-Rd1.
Step 1613: judge its phase range.If its phase place belongs to [0, π/6], then execution in step 1615, if its phase place belongs to [π/6, π/4], then execution in step 1617, if its phase place belongs to [π/4, pi/2], then execution in step 1619.
Step 1615: as shown in Figure 14, signal drops on the ABFE district, for being the round ray of π/6 to phase place, this equates with the back distance to real axis in π that signal is turned clockwise/6 from the nearest decision region border of this regional signal point, and the latter rotates the negative value of the imaginary part of symbol afterwards.Therefore, the soft information of the b3 ' of this regional symbol can be expressed as:
L(b3′)=-imag(Rx_symbol′·exp(-π/6))。
Step 1617: as shown in Figure 14, signal drops on the BCGF district, be the round ray that the disc of Rd1, disc that radius is Rd2 or phase place are π/6 from the nearest decision region border of this regional signal point (point) for radius, then the soft information of the b3 ' of this regional symbol can be expressed as: L (b3 ')=min (r '-Rd1,-(r '-Rd2), imag (Rx_symbol ' exp (π/6))).
Step 1619: as shown in Figure 14, signal drops on the CDHG district, and for radius is that disc, G point or the phase place of Rd1 is the round ray of π/6, then the soft information of the b3 ' of this regional symbol can be expressed as from the nearest decision region border of this regional signal point (point):
, wherein, g
Q'=Rd2cos (π/4) and g
I'=Rd2sin (π/4) represents real part and the imaginary part that G is ordered respectively.
Step 1621: judge its phase range.If its phase place belongs to [0, π/6], then execution in step 1623, if its phase place belongs to [π/6, π/4], then execution in step 1625, if its phase place belongs to [π/4, pi/2], then execution in step 1627.
Step 1623: as shown in Figure 14, signal drops on the EFIG district, is the F point from the nearest decision region border of this regional signal point, and then the soft information of the b3 ' of this regional symbol can be expressed as:
Wherein, f
Q'=Rd2cos (π/6) and f
I'=Rd2sin (π/6) represents real part and the imaginary part that F is ordered respectively.
Step 1625: as shown in Figure 14, signal drops on the FGKJ district, be the disc of Rd2 or the round ray that phase place is π/4 from the nearest decision region border of this regional signal point (point) for radius, then the soft information of the b3 ' of this regional symbol can be expressed as: L (b3 ')=max (r '-Rd2, imag (Rx_symbol ' exp (π/4))), because the both is negative value, so peek value the greater is represented less distance.
Step 1627: as shown in Figure 14, signal drops on the GHLK district, be the disc of Rd1 or the round ray that phase place is π/4 from the nearest decision region border of this regional signal point (point) for radius, then the soft information of the b3 ' of this regional symbol can be expressed as: L (b3 ')=max (r '-Rd1, imag (Rx_symbol ' exp (π/4))).
5, generate the soft information of b4 '
As shown in figure 15, its judgement territory also needs according to dividing to the difference of the minimum range method for expressing of adjudicating the plane, be not difficult to find, its bit decision territory is the round ray symmetry of π/4 about phase place, for the ease of expression, in soft information product process, only make [0, π/4] the judgement flow process, as shown in figure 17.[π/4, pi/2] be symmetry with it.Because the bit decision territory of b4 also about I axle and Q axial symmetry, gets final product so only need analyze the soft information generation of first quartile scheme.And owing to when generating the soft information of b3, receiving symbol is mapped to first quartile, so need not to shine upon again.Be elaborated below in conjunction with the Figure 17 of Figure 15.
Step 101:
Calculate the amount that characterizes the amplitude that receives signal
Amount ρ=r with the characterization signal phase place
Q/ r
I
Step 201:
Judge the amplitude of signal, determine that signal still is the planisphere outer ring corresponding to planisphere inner ring, centre circle.
Step 301:
If signal amplitude is less than Rd
1, judge the affiliated scope of its phase place.
Step 302:
Case1: if ρ less than
Or greater than
, by figure five as can be known, signal drops on OAC or OFE district, is Rd from the nearest decision region border of this regional signal point (or point) for radius
1Disc, so the b4 bit soft information of this regional symbol can be expressed as:
L(b
4)=r-Rd
1
Case2: if ρ more than or equal to
Therefore and less than 1, by figure five as can be known, signal drops on the OCD district, is a some F from the nearest decision region border of this regional signal point (or point), represents the soft information of this regional symbol b4 with receiving symbol to the distance of putting C, that is:
Wherein, c
Q=Rd
1Cos (π/6) and c
I=Rd
1Sin (π/6) represents real part and the imaginary part that C is ordered respectively.
Case3: if ρ more than or equal to 1 and less than
, by figure five as can be known, signal drops on the ODE district, is an E from the nearest decision region border of this regional signal point (or point), and then the soft information of regional symbol b4 is:
Wherein, e
Q=Rd
1Cos (π/3) and e
I=Rd
1Sin (π/3) represents real part and the imaginary part that E is ordered respectively.
Step 401:
If signal amplitude is more than or equal to Rd
1And less than Rd
2, judge the affiliated scope of its phase place.
Step 402:
Case1: if ρ less than tan (π/8), as shown in Figure 15, signal drops on the ABHG district, is that radius is Rd from the nearest decision region border of this regional signal point
1Disc or the some H, therefore, the soft information of this regional symbol b2 can be expressed as:
Wherein, h
Q=Rd
2Cos (π/8) and h
I=Rd
2Sin (π/8) represents real part and the imaginary part that H is ordered respectively.
Case2: if ρ more than or equal to tan (π/8) and less than
, as shown in Figure 15, signal drops on the BCIH district, is Rd from the nearest decision region border of this regional signal point (or point) for radius
1Disc, radius be Rd
2Disc or the phase place round ray that is π/6, then the soft information of this regional symbol b3 can be expressed as:
L(b
4)=min(r-Rd
1,-(r-Rd
2),-imag(Rx_symbol·exp(-π/6)))
Case3: if ρ more than or equal to
And less than 1, as shown in Figure 15, signal drops on the CDJI district, is the round ray of π/6 from the nearest decision region border of this regional signal point (or point) for phase place, and then the soft information of this regional symbol b4 can be expressed as:
L(b
4)=-imag(Rx_symbol·exp(-π/6))
Case4: if ρ more than or equal to 1 and less than
, as shown in Figure 15, signal drops on the EDKJ district, is the round ray of π/3 from the nearest decision region border of this regional signal point (or point) for phase place, and then the soft information of this regional symbol b4 can be expressed as:
L(b
4)=imag(Rx_symbol·exp(-π/3))
Case5: if ρ more than or equal to 1 and less than tan (3 π/8), as shown in Figure 15, signal drops on the EVLK district, is Rd from the nearest decision region border of this regional signal point (or point) for radius
1Disc, radius be Rd
2Disc or the phase place round ray that is π/3, then the soft information of this regional symbol b3 can be expressed as:
L(b
4)=min(r-Rd
1,-(r-Rd
2),imag(Rx_symbol·exp(-π/3)))
Case6: if ρ more than or equal to tan (3 π/8), as shown in Figure 15, signal drops on the VFML district, is Rd from the nearest decision region border of this regional signal point (or point) for radius
1Disc, L point or phase place be the round ray of π/3, then the soft information of this regional symbol b4 can be expressed as:
Wherein, l
Q=Rd
2Cos (π/3) and l
I=Rd
2Sin (π/3) represents real part and the imaginary part that L is ordered respectively.
Step 501:
If signal amplitude is greater than Rd
2, judge the affiliated scope of its phase place.
Step 502:
Case1: if ρ less than tan (π/8), as shown in Figure 15, signal drops on the GHNO district, is that phase place is the round ray of π/8 from the nearest decision region border of this regional signal point, then the soft information of this regional symbol b4 can be expressed as:
L(b
4)=-imag(Rx_symbol·exp(-π/8)
Case2: if ρ is greater than tan (π/8) and be less than or equal to
, as shown in Figure 5, signal drops on the HIOP district, is Rd from the nearest decision region border of this regional signal point (or point) for radius
2Disc or the phase place round ray that is π/8, then the soft information of this regional symbol b4 can be expressed as:
L(b
4)=max(r-Rd
2,-imag(Rx_symbol·exp(-π/8)))
Because the both is negative value, so peek value the greater is represented less distance.
Case3: if ρ is greater than 1/3 and be less than or equal to 1, as shown in Figure 5, signal drops on the IJQP district, is that some I or phase place are the round ray of π/8 from the nearest decision region border of this regional signal point (or point), and then the soft information of this regional symbol b4 can be expressed as:
Wherein, I
Q=Rd
2Cos (π/6) and I
I=Rd
2Sin (π/6) represents real part and the imaginary part that I is ordered respectively.
Case4: if ρ is greater than 1 and be less than or equal to
, as shown in Figure 5, signal drops on the JKRQ district, is that some K or phase place are the round ray of 3 π/8 from the nearest decision region border of this regional signal point (or point), and then the soft information of this regional symbol b4 can be expressed as:
Wherein, k
Q=Rd
2Cos (π/3) and k
I=Rd
2Sin (π/3) represents real part and the imaginary part that K is ordered respectively.
Case5: if ρ greater than
And be less than or equal to tan (3 π/8), as shown in Figure 5, signal drops on the KLSR district, is Rd from the nearest decision region border of this regional signal point (or point) for radius
2Disc or the phase place round ray that is 3 π/8, then the soft information of this regional symbol b4 can be expressed as:
L(b
4)=max(r-Rd
2,imag(Rx_symbol·exp(-3π/8)))
Because the both is negative value, so peek value the greater is represented less distance.
Case6: if ρ greater than tan (3 π/8), as shown in Figure 5, signal drops on the LMTS district, is that phase place is the round ray of 3 π/8 from the nearest decision region border of this regional signal point, then the soft information of this regional symbol b4 can be expressed as:
L(b
4)=imag(Rx_symbol·exp(-3π/8)
Need to prove, because bit4 has too many kind of dividing condition, so, all case all can't be presented among Figure 17, therefore, in Figure 17, only drawn the (0, π/4] corresponding various case in the scope.
The present invention is based on the detailed bit decision zone that causes divides, the minimum range that uses the bit decision zone boundary generates each bit soft information, do not need a large amount of numerical computations, the soft information of APSK that greatly reduces high-order generates the complexity of scheme, has improved throughput of system.
The present invention describes 16APSK in detail and the soft information of 32APSK generates scheme, so that those skilled in the art can use or utilize the present invention.Various modifications to embodiment it will be apparent to those skilled in the art that.The soft information that the invention is not restricted to 16APSK and two kinds of modulation systems of 32APSK generates, and should expand the wide region that meets disclosed principle and feature to.
Describe and to be understood that in the flow chart or in this any process of otherwise describing or method, expression comprises module, fragment or the part of code of the executable instruction of the step that one or more is used to realize specific logical function or process, and the scope of preferred implementation of the present invention comprises other realization, wherein can be not according to order shown or that discuss, comprise according to related function by the mode of basic while or by opposite order, carry out function, this should be understood by the embodiments of the invention person of ordinary skill in the field.
In the description of this specification, concrete feature, structure, material or characteristics that the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means in conjunction with this embodiment or example description are contained at least one embodiment of the present invention or the example.In this manual, the schematic statement to above-mentioned term not necessarily refers to identical embodiment or example.And concrete feature, structure, material or the characteristics of description can be with the suitable manner combination in any one or more embodiment or example.
Although illustrated and described embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, those of ordinary skill in the art can change above-described embodiment under the situation that does not break away from principle of the present invention and aim within the scope of the invention, modification, replacement and modification.
Claims (4)
1. the bit soft information generation method of a 16APSK is characterized in that, according to the 16APSK constellation mapping, provides the decision region division methods of 4 bit correspondences respectively, generates bit soft information based on receiving the minimum range of signal to the decision region border.
2. the bit soft information generation method of 16APSK according to claim 1 is characterized in that, may further comprise the steps:
S1: generate the 16APSK gray mappings planisphere about horizontal longitudinal axis symmetry that transmit leg adopts;
S2: according to 0/1 value of each bit of 16APSK, generate the decision region of each bit correspondence, the influence that is not subjected to other bits is divided in the zone of declaring firmly of each bit;
S3: according to the symmetry characteristic of decision region, further divide the decision region of each bit, it is identical that the bit soft information in each the little decision region that is divided into generates scheme; And
S4: based on receiving the minimum range of signal to the judgement territory, generate the soft information of each bit.
3. the bit soft information generation method of a 32APSK is characterized in that, according to the 32APSK constellation mapping, provides the decision region division methods of 5 bit correspondences respectively, generates bit soft information based on receiving the minimum range of signal to the decision region border.
4. the bit soft information generation method of 32APSK according to claim 3 is characterized in that, may further comprise the steps:
S1': generate the 32APSK gray mappings planisphere about horizontal longitudinal axis symmetry that transmit leg adopts;
S2': according to 0/1 value of each bit of 32APSK, generate the decision region of each bit correspondence, the division of the hard critical region of each bit is not subjected to the influence of other bits;
S3': according to the symmetry characteristic of decision region, further divide the decision region of each bit, it is identical that the bit soft information in each the little decision region that is divided into generates scheme; And
S4': based on receiving the minimum range of signal to the judgement territory, generate the soft information of each bit.
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CN106961307A (en) * | 2017-03-09 | 2017-07-18 | 复旦大学 | The decision threshold optimization method of non-homogeneous phase distribution QAM signals |
CN113364717A (en) * | 2021-05-31 | 2021-09-07 | 成都坤恒顺维科技股份有限公司 | 32APSK soft information calculation method suitable for DVBS2 modulation |
CN113965438A (en) * | 2021-09-30 | 2022-01-21 | 西南电子技术研究所(中国电子科技集团公司第十研究所) | Method for solving soft information under 16APSK high-order modulation mode |
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CN101404564A (en) * | 2008-11-14 | 2009-04-08 | 南京航空航天大学 | Soft demodulation method for 8PSK Gray mapping |
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CN106850075A (en) * | 2017-03-09 | 2017-06-13 | 复旦大学 | The system and optimization method of high-frequency vector ripple signal are produced using single electrode modulator |
CN106961307A (en) * | 2017-03-09 | 2017-07-18 | 复旦大学 | The decision threshold optimization method of non-homogeneous phase distribution QAM signals |
CN113364717A (en) * | 2021-05-31 | 2021-09-07 | 成都坤恒顺维科技股份有限公司 | 32APSK soft information calculation method suitable for DVBS2 modulation |
CN113364717B (en) * | 2021-05-31 | 2022-10-18 | 成都坤恒顺维科技股份有限公司 | 32APSK soft information calculation method suitable for DVBS2 modulation |
CN113965438A (en) * | 2021-09-30 | 2022-01-21 | 西南电子技术研究所(中国电子科技集团公司第十研究所) | Method for solving soft information under 16APSK high-order modulation mode |
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