CN110224954A - Method and system for realizing anti-tracking interference of communication based on baseband signal processing - Google Patents

Abstract

The invention discloses a communication anti-tracking interference implementation method and system based on baseband signal processing, and relates to the technical field of anti-tracking interference, including determining the realization conditions of adaptive cancellation; The frequency hopping signal with a partial length is intercepted as the reference input signal of the first-level adaptive canceller; under the condition of realizing adaptive cancellation, the reference input signal is input to the reference input terminal of the first-level adaptive canceller, and the mixed The signal is input to the basic input terminal of the first-level adaptive canceller, and the mixed signal is filtered to obtain the tracking interference signal; then the tracking interference signal is input to the reference input terminal of the second-level adaptive canceller, and the mixed signal is input To the basic input end of the secondary adaptive canceller, the mixed signal is filtered to obtain the original frequency hopping signal. Applying the method or system provided by the present invention can effectively suppress tracking interference.

Description

A communication anti-tracking interference implementation method and system based on baseband signal processing

technical field

The present invention relates to the technical field of anti-tracking interference, in particular to a communication anti-tracking interference implementation method and system based on baseband signal processing.

Background technique

Tracking jamming is one of the important jamming styles in modern combat, and it is also the focus and difficulty in communication anti-jamming technology. At present, there are various ways of anti-jamming technology. Whether it is spread spectrum spread spectrum, frequency hopping and code hopping technology, or networking and radio frequency port cancellation technology, none of them can effectively solve the problem of anti-tracking interference.

Contents of the invention

The object of the present invention is to provide a communication anti-tracking interference implementation method and system based on baseband signal processing, which effectively suppresses tracking interference.

To achieve the above object, the present invention provides the following scheme:

A communication anti-tracking interference implementation method based on baseband signal processing, comprising:

Determine the realization condition of adaptive cancellation;

Obtaining a mixed signal sampled from the baseband, and intercepting a part-length frequency-hopping signal from the mixed signal as a reference input signal of a first-stage adaptive canceller;

Under the realization condition of the adaptive cancellation, the reference input signal is input to the reference input terminal of the first-level adaptive canceller, and the mixed signal is input to the basic input terminal of the first-level adaptive canceller , performing filtering processing on the mixed signal to obtain a tracking interference signal;

Under the realization condition of described self-adaptive cancellation, input described tracking interference signal to the reference input terminal of secondary self-adaptive canceller, input described mixed signal to the basic input terminal of secondary self-adaptive canceller , performing filtering processing on the mixed signal to obtain an original frequency hopping signal.

Optionally, the realization condition of the adaptive cancellation is that each frequency hopping frequency point completes two adaptive cancellation processes within one frequency hopping period; wherein, the frequency hopping period is 0≤τ<T _d ; T _d represents the frequency hopping period; τ represents the interference delay, d ₁ represents the distance between the jammer and the transmitter, d ₂ represents the distance between the jammer and the receiver, L represents the distance between the receiver and the transmitter, c represents the speed of light, T _r represents the processing time required by the jammer .

Optionally, the acquisition of the mixed signal up-sampled from the baseband, and intercepting a part-length frequency-hopping signal from the mixed signal as a reference input signal of the first-level adaptive canceller specifically includes:

Get the mixed signal sampled from the baseband;

Intercept the frequency hopping signal of the first 100 μs of each frequency point from the mixed signal as the reference input signal of the first-level adaptive canceller and store it in the corresponding storage area; wherein, different frequency points are stored in different storage areas .

Optionally, under the condition of realizing the adaptive cancellation, the reference input signal is input to the reference input terminal of the first-level adaptive canceller, and the mixed signal is input to the first-level adaptive canceller. The basic input terminal of the canceller is used to filter the mixed signal to obtain the tracking interference signal, which specifically includes:

Step 1: Determine the first-order filter weight coefficient and convergence factor of the first-order adaptive canceller;

Step 2: Calculate the output signal of the first-order filter according to the first-order filter weight coefficient and the reference input signal;

Step 3: making a difference between the mixed signal and the output signal of the first-order filter to calculate a first-order error;

Step 4: Calculate the second-order filter weight coefficient of the first-order adaptive canceller according to the first-order filter weight coefficient, the reference input signal, the first-order error and the convergence factor;

Step 5: Repeat steps 2 to 4 until the mean square value of the error and the tracking interference signal is the smallest, and then obtain the tracking interference signal.

Optionally, under the condition of realizing the adaptive cancellation, the tracking interference signal is input to the reference input terminal of the secondary adaptive canceller, and the mixed signal is input to the secondary adaptive canceller The basic input terminal of the mixed signal is filtered to obtain the original frequency hopping signal, which specifically includes:

Step 1: Determine the first-order filter weight coefficient and convergence factor of the second-level adaptive canceller;

Step 2: Calculate the output signal of the first-order filter according to the first-order filter weight coefficient and the tracking interference signal;

Step 3: making a difference between the mixed signal and the output signal of the first-order filter to calculate a first-order error;

Step 4: Calculate the second-order filter weight coefficient of the secondary adaptive canceller according to the first-order filter weight coefficient, the tracking interference signal, the first-order error and the convergence factor;

Step 5: Repeat steps 2 to 4 until the mean square value of the error and the original frequency hopping signal is the smallest, and then obtain the original frequency hopping signal.

A communication anti-tracking interference implementation system based on baseband signal processing, including:

A realization condition determination module, configured to determine the realization condition of the adaptive cancellation;

The reference input signal determination module is used to obtain the mixed signal sampled from the baseband, and intercept the part-length frequency hopping signal in the mixed signal as the reference input signal of the first-level adaptive canceller;

The tracking interference signal obtaining module is used to input the reference input signal to the reference input terminal of the first-level adaptive canceller under the realization condition of the adaptive cancellation, and input the mixed signal to the first-level self-adaptive canceller. Adapting to the basic input terminal of the canceller, performing filtering processing on the mixed signal to obtain a tracking interference signal;

The original frequency hopping signal obtaining module is used to input the tracking interference signal to the reference input terminal of the secondary adaptive canceller under the realization condition of the adaptive cancellation, and input the mixed signal to the secondary The basic input terminal of the adaptive canceller performs filtering processing on the mixed signal to obtain the original frequency hopping signal.

Optionally, the realization condition of the adaptive cancellation is that each frequency hopping frequency point completes two adaptive cancellation processes within one frequency hopping period; wherein, the frequency hopping period is 0≤τ<T _d ; T _d represents the frequency hopping period; τ represents the interference delay, d ₁ represents the distance between the jammer and the transmitter, d ₂ represents the distance between the jammer and the receiver, L represents the distance between the receiver and the transmitter, c represents the speed of light, T _r represents the processing time required by the jammer .

Optionally, the reference input signal determination module specifically includes:

A mixed signal acquisition unit, configured to acquire a mixed signal sampled from the baseband;

The reference input signal determination unit is used to intercept the frequency hopping signal of the first 100 μs of each frequency point from the mixed signal as the reference input signal of the first-level adaptive canceller and store it in the corresponding storage area; wherein, different frequency Points are stored in different storage areas.

According to the specific embodiments provided by the invention, the invention discloses the following technical effects:

The signal processed by the present invention is a baseband signal, with fast calculation speed and high cancellation efficiency, and through real-time processing of signals at different frequency points, interference cancellation at each frequency point can be realized, that is, real-time tracking interference cancellation can be realized .

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.

FIG. 1 is a schematic flowchart of a communication anti-tracking interference implementation method based on baseband signal processing according to an embodiment of the present invention;

FIG. 2 is a delay diagram of tracking an interference signal in the time domain according to an embodiment of the present invention;

Fig. 3 is a schematic block diagram of self-adaptive cancellation according to an embodiment of the present invention;

4 is a schematic diagram of two-stage self-adaptive cancellation according to an embodiment of the present invention;

5 is a schematic structural diagram of a communication anti-tracking interference implementation system based on baseband signal processing according to an embodiment of the present invention;

Fig. 6 is the hardware structural diagram of the digital cancellation system of the embodiment of the present invention;

7 is a flow chart of communication anti-tracking interference signal processing according to an embodiment of the present invention;

Fig. 8 is a comparison diagram of the tracking interference suppression effect according to the embodiment of the present invention; Fig. 8 (a) is a tracking interference suppression effect diagram one, and Fig. 8 (b) is a tracking interference suppression effect diagram two; Fig. 8 (c) is a tracking interference suppression effect Figure three;

Fig. 9 is a comparison diagram of tracking interference cancellation effects according to the embodiment of the present invention; Fig. 9 (a) is a tracking interference cancellation effect diagram one; Fig. 9 (b) is a tracking interference cancellation effect diagram two; Fig. 9 (c) is a tracking Interference cancellation effect figure 3.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

Embodiment one

As shown in Figure 1, this embodiment provides a communication anti-tracking interference implementation method based on baseband signal processing. The processed signal form is a baseband signal. The communication anti-tracking interference implementation method includes the following steps in order:

Step 101: Determine the realization conditions of adaptive cancellation; specifically include:

Each frequency hopping frequency point performs adaptive cancellation processing twice, and needs to be completed within one frequency hopping period. The particularity of the implementation of tracking interference determines that there is an interference delay relative to the starting point of frequency hopping, and the interference delay satisfies the condition: 0≤τ<T _d , where T _d represents the frequency hopping period. Therefore, adaptive cancellation must be implemented within each frequency hopping period.

The interference delay τ is calculated as follows:

In view of the fact that the propagation and processing of signals requires a certain amount of time, the implementation of tracking interference must meet a certain time limit. The relation that this constraint satisfies is:

In the formula: d ₁ is the distance between the jammer and the transmitter; d ₂ is the distance between the jammer and the receiver; _L is the distance between the receiver and the transmitter; c is the speed of light; T _d is the dwell time of the frequency hopping signal, which can be represented by the frequency hopping cycle; η is the interference proportional coefficient less than 1.

The relationship described by this relation is an ellipse, and only when the jammer is located within the ellipse with the transmitter and receiver as the focus, can effective tracking interference be formed.

The delay of tracking the interference signal in the time domain is shown in Figure 2. T ₁ is the difference between the propagation time of the frequency hopping signal arriving at the receiver and the jammer. If the jammer is closer to the transmitter than the receiver, its value is negative; T ₂ is the processing time required by the jammer; T ₃ is the tracking The time it takes for the interfering signal to propagate to the receiver. The interference delay can be expressed as: τ=T ₁ +T ₂ +T ₃ , and its value can be calculated according to the following formula:

Step 102: Obtain the mixed signal sampled from the baseband, and intercept a part-length frequency-hopping signal from the mixed signal as a reference input signal of the first-level adaptive canceller; specifically include:

According to the characteristics of the current radio station, the value of τ is 100-200us, that is, the first 100us is a non-interfering signal, so the frequency-hopping signal of the first 100us of each frequency point is intercepted from the sampled mixed signal and stored as data. For different frequency points, open up different buffer areas; after 200us, the mixed signal is sampled.

Step 103: Under the realization condition of the adaptive cancellation, input the reference input signal to the reference input terminal of the first-level adaptive canceller, and input the mixed signal to the first-level adaptive canceller The basic input end performs filtering processing on the mixed signal to obtain a tracking interference signal; specifically includes:

Step 1031: Determine the first-order filter weight coefficient W(1) and the convergence factor μ of the first-order adaptive canceller.

Step 1032: Calculate the output signal of the first-order filter; the calculation formula is y(1)=W ^T (1)X(n).

In the formula, y(1) represents the output signal of the first-stage filter, and X(n) represents the reference input signal.

Step 1033: Calculate the first-order error; the calculation formula is: e(1)=d(n)-y(1).

In the formula, e(1) represents the primary error signal, d(n) represents the mixed signal, and the mixed signal includes the frequency hopping signal S(n) and the tracking interference signal u(n).

Step 1034: Calculate the next-order filter weight coefficient of the first-level adaptive canceller, that is, the second-order filter weight coefficient W(2); the calculation formula is: W(2)=W(1)+2μe(1)× (n).

Step 1035: Repeat steps 1032 to 1034 until the mean square value E[e(m)-u(n)] ² is the smallest, ideally e(m)=u(n), that is, the tracking interference signal u(n) is obtained ).

Wherein, the principle of adaptive cancellation described in step 1031 to step 1035 is shown in FIG. 3 .

Step 104: Under the condition of realizing the adaptive cancellation, input the tracking interference signal to the reference input terminal of the second-level adaptive canceller, and input the mixed signal to the second-level adaptive canceller At the basic input terminal, the mixed signal is filtered to obtain the original frequency hopping signal; wherein, the cancellation process is also performed in the second-level adaptive canceller according to the principles described in steps 1031 to 1035. Specifically include:

Step 1041: Determine the first-order filter weight coefficient W'(1) and the convergence factor μ in the second-level adaptive canceller.

Step 1042: Calculate the output signal of the first-order filter; the calculation formula is y'(1)= ^W'T (1)u(n).

In the formula, y'(1) represents the output signal of the first-stage filter, and u(n) represents the reference input signal, that is, the tracking interference signal.

Step 1043: Calculate the first-order error; the calculation formula is: e'(1)=d(n)-y'(1).

In the formula, e'(1) represents the primary error signal, d(n) represents the mixed signal, and the mixed signal includes the frequency hopping signal S(n) and the tracking interference signal u(n).

Step 1044: Calculate the next-order filter weight coefficient in the second-order adaptive canceller, that is, the second-order filter weight coefficient W'(2); the calculation formula is: W'(2)=W'(1)+2μe '(1)u(n).

Step 1045: Repeat steps 1042 to 1044 until the mean square value E[e'(m)-S(n)] ² is the smallest, ideally e'(m)=S(n), that is, the original frequency hopping signal is obtained S(n).

As shown in Figure 4, after the interfering data enters the basic input terminal of the first-level adaptive canceller, the stored part of the frequency hopping signal is provided as a reference input signal to the reference input terminal of the first-level adaptive canceller, The execution steps follow steps 1031 to 1035 to obtain tracking interference signals. Then execute steps 1041 to 1045 to obtain the original frequency hopping signal.

The present invention realizes real-time tracking and interference cancellation by storing the first 100 μs data of each frequency point in real time.

Embodiment two

As shown in Figure 5, this embodiment provides a communication anti-tracking interference implementation system based on baseband signal processing, including:

The realization condition determining module 201 is configured to determine the realization condition of adaptive cancellation. The realization condition of the adaptive cancellation is that each frequency hopping frequency point completes the adaptive cancellation processing twice in one frequency hopping period; wherein, the frequency hopping period is 0≤τ<T _d ; T _d represents frequency hopping period; τ represents the interference delay, d ₁ represents the distance between the jammer and the transmitter, d ₂ represents the distance between the jammer and the receiver, L represents the distance between the receiver and the transmitter, c represents the speed of light, T _r represents the processing time required by the jammer .

The reference input signal determination module 202 is configured to obtain a mixed signal upsampled from the baseband, and intercept a part-length frequency-hopping signal from the mixed signal as a reference input signal of the first-stage adaptive canceller. Specifically include:

The mixed signal acquisition unit is used to acquire the mixed signal up-sampled from the baseband.

The reference input signal determination unit is used to intercept the frequency hopping signal of the first 100 μs of each frequency point from the mixed signal as the reference input signal of the first-level adaptive canceller and store it in the corresponding storage area; wherein, different frequency Points are stored in different storage areas.

Tracking the interference signal obtaining module 203, configured to input the reference input signal to the reference input terminal of the first-stage adaptive canceller under the realization condition of the adaptive cancellation, and input the mixed signal to the first-stage The basic input end of the adaptive canceller performs filtering processing on the mixed signal to obtain the tracking interference signal. For the cancellation process, refer to step 103 in the first embodiment.

The original frequency hopping signal obtaining module 204 is used to input the tracking interference signal to the reference input terminal of the secondary adaptive canceller under the realization condition of the adaptive cancellation, and input the mixed signal to the secondary The basic input end of the stage adaptive canceller is used to filter the mixed signal to obtain the original frequency hopping signal. For the cancellation process, refer to step 104 in the first embodiment.

Embodiment three

In terms of hardware, this embodiment adopts the "A/D+FPGA+D/A" framework as shown in FIG. 6 . Among them, the A/D module is connected to the baseband of the radio station, uses ADC (Analog to Digital Converter, analog-to-digital converter) to digitize the received analog signal, and then sends the digital signal to FPGA (field programmable gate array, field programmable gate array) platform, the signal is subjected to two-stage adaptive cancellation filtering through a programmable filter, and then the processed signal is converted into an analog signal through a DAC (Digital to Analog Converter) and then output to the baseband. By adding A/D module and D/A module, a high-speed baseband digital signal processing platform from front-end data reception to back-end analog transmission is constructed.

Its signal processing flow is shown in Figure 6. Firstly, the realization conditions of adaptive cancellation are determined, and then the mixed signal sampled from the baseband is obtained, and the frequency hopping signal of the first 100 μs is intercepted and stored in the buffer area of FPGA. After the subsequent mixed signal is read in and used as the basic input signal, the stored data is taken out as the reference input signal, and provided to the first-level adaptive cancellation algorithm model for filtering processing to obtain the tracking interference signal. The tracking interference signal is used as the reference input signal of the two-stage adaptive cancellation algorithm model, and the mixed signal is canceled twice, and finally the original frequency-hopping signal is obtained. For the cancellation process, refer to step 103 to step 104 in the first embodiment.

Partial frequency point waveforms of the frequency hopping signal before and after being processed by the method provided by the present invention are shown in FIG. 8 , and FIG. 8 shows filtering effects on three frequency points. Among them, the tracking interference signal is narrow-band modulation noise. Using MATLAB to calculate the signal-to-interference ratio SIR and bit error rate Pe of all nine frequency points before and after interference cancellation is shown in Figure 9. Combining the waveform diagram and data processing results, the interference signal can be suppressed obviously. At most of the frequency points, the signal-to-interference ratio before and after cancellation has increased (over 5dB), and the bit error rate has dropped significantly, but the cancellation effect is related to the input signal-to-interference ratio.

Compared with the prior art, the present invention has the following advantages:

(1) Based on baseband digital signal processing, the calculation speed is fast and the cancellation efficiency is high;

Frequency hopping signals are low frequency at baseband (or zero-IF), only a few hundred kHz. According to the Nyquist sampling theorem, the sampling frequency of the ADC is 1MHz to meet the sampling requirements, which is convenient for actual chip selection and processing. The frequency of the frequency hopping signal on the radio frequency is tens of MHz, which makes the sampling frequency too high, and the corresponding circuit design is much more complicated. However, the sampling rate and resolution are contradictory. Correspondingly, the resolution will be reduced, which may cause signal distortion and affect the cancellation effect.

In addition, the digital cancellation based on the baseband can eliminate the interference component in the baseband received signal, further eliminate the residual interference of the radio frequency cancellation, and improve the cancellation ratio of the system.

(2) Real-time tracking and interference cancellation can be realized.

For different frequency points, open up different buffer areas. After the communication frequency band is identified in the FPGA, the frequency hopping signal of the first 100 μs is intercepted as a reference input signal and stored in the corresponding storage area. The interference signal can be obtained by the first cancellation, which is used as the reference input signal for the subsequent second cancellation. Through the real-time processing of signals of different frequency points, the interference cancellation of each frequency point can be realized, that is, the real-time tracking interference cancellation can be realized.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for the related information, please refer to the description of the method part.

In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to the present invention Thoughts, there will be changes in specific implementation methods and application ranges. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (8)

1. A communication anti-tracking interference implementation method based on baseband signal processing, characterized in that, the communication anti-tracking interference implementation method includes: Determine the realization condition of adaptive cancellation; Obtaining a mixed signal sampled from the baseband, and intercepting a part-length frequency-hopping signal from the mixed signal as a reference input signal of a first-stage adaptive canceller; Under the realization condition of the adaptive cancellation, the reference input signal is input to the reference input terminal of the first-level adaptive canceller, and the mixed signal is input to the basic input terminal of the first-level adaptive canceller , performing filtering processing on the mixed signal to obtain a tracking interference signal; Under the realization condition of described self-adaptive cancellation, input described tracking interference signal to the reference input terminal of secondary self-adaptive canceller, input described mixed signal to the basic input terminal of secondary self-adaptive canceller , performing filtering processing on the mixed signal to obtain an original frequency hopping signal. 2. a kind of communication anti-tracking interference implementation method based on baseband signal processing according to claim 1, is characterized in that, the realization condition of described self-adaptive cancellation is that each frequency hopping frequency point completes two times in a frequency hopping cycle. Sub-adaptive cancellation processing; wherein, the frequency hopping period is 0≤τ<T _d ; T _d represents the frequency hopping period; τ represents the interference delay, d ₁ represents the distance between the jammer and the transmitter, d ₂ represents the distance between the jammer and the receiver, L represents the distance between the receiver and the transmitter, c represents the speed of light, T _r represents the processing time required by the jammer . 3. A method for implementing communication anti-tracking interference based on baseband signal processing according to claim 1, characterized in that the acquisition is from the mixed signal sampled from the baseband, and intercepting part-length jumps in the mixed signal The frequency signal is used as the reference input signal of the first-level adaptive canceller, including: Get the mixed signal sampled from the baseband; Intercept the frequency hopping signal of the first 100 μs of each frequency point from the mixed signal as the reference input signal of the first-level adaptive canceller and store it in the corresponding storage area; wherein, different frequency points are stored in different storage areas . 4. a kind of communication anti-tracking interference implementation method based on baseband signal processing according to claim 1, is characterized in that, under the realization condition of described self-adaptive cancellation, input the reference input signal into a The reference input end of the first-level adaptive canceller, the mixed signal is input to the basic input end of the first-level adaptive canceller, and the mixed signal is filtered to obtain the tracking interference signal, which specifically includes: Step 1: Determine the first-order filter weight coefficient and convergence factor of the first-order adaptive canceller; Step 2: Calculate the output signal of the first-order filter according to the first-order filter weight coefficient and the reference input signal; Step 3: making a difference between the mixed signal and the output signal of the first-order filter to calculate a first-order error; Step 4: Calculate the second-order filter weight coefficient of the first-order adaptive canceller according to the first-order filter weight coefficient, the reference input signal, the first-order error and the convergence factor; Step 5: Repeat steps 2 to 4 until the mean square value of the error and the tracking interference signal is the smallest, and then obtain the tracking interference signal. 5. a kind of communication anti-tracking interference implementation method based on baseband signal processing according to claim 1, is characterized in that, under the realization condition of described self-adaptive cancellation, described tracking interference signal is input to secondary automatic Adapt to the reference input end of the canceller, input the mixed signal to the basic input end of the secondary adaptive canceller, filter the mixed signal to obtain the original frequency hopping signal, specifically include: Step 1: Determine the first-order filter weight coefficient and convergence factor of the second-level adaptive canceller; Step 2: Calculate the output signal of the first-order filter according to the first-order filter weight coefficient and the tracking interference signal; Step 3: making a difference between the mixed signal and the output signal of the first-order filter to calculate a first-order error; Step 4: Calculate the second-order filter weight coefficient of the secondary adaptive canceller according to the first-order filter weight coefficient, the tracking interference signal, the first-order error and the convergence factor; Step 5: Repeat steps 2 to 4 until the mean square value of the error and the original frequency hopping signal is the smallest, and then obtain the original frequency hopping signal. 6. A communication anti-tracking interference implementation system based on baseband signal processing, characterized in that the communication anti-tracking interference system method includes: A realization condition determination module, configured to determine the realization condition of the adaptive cancellation; The reference input signal determination module is used to obtain the mixed signal sampled from the baseband, and intercept the part-length frequency hopping signal in the mixed signal as the reference input signal of the first-level adaptive canceller; The tracking interference signal obtaining module is used to input the reference input signal to the reference input terminal of the first-level adaptive canceller under the realization condition of the adaptive cancellation, and input the mixed signal to the first-level self-adaptive canceller. Adapting to the basic input terminal of the canceller, performing filtering processing on the mixed signal to obtain a tracking interference signal; The original frequency hopping signal obtaining module is used to input the tracking interference signal to the reference input terminal of the secondary adaptive canceller under the realization condition of the adaptive cancellation, and input the mixed signal to the secondary The basic input terminal of the adaptive canceller performs filtering processing on the mixed signal to obtain the original frequency hopping signal. 7. A kind of communication anti-tracking interference realization system based on baseband signal processing according to claim 6, is characterized in that, the realization condition of described self-adaptive cancellation is that each frequency hopping frequency point completes two frequency hopping periods. Sub-adaptive cancellation processing; wherein, the frequency hopping period is 0≤τ<T _d ; T _d represents the frequency hopping period; τ represents the interference delay, d ₁ represents the distance between the jammer and the transmitter, d ₂ represents the distance between the jammer and the receiver, L represents the distance between the receiver and the transmitter, c represents the speed of light, T _r represents the processing time required by the jammer . 8. A communication anti-tracking interference implementation system based on baseband signal processing according to claim 6, wherein the reference input signal determination module specifically includes: A mixed signal acquisition unit, configured to acquire a mixed signal sampled from the baseband; The reference input signal determination unit is used to intercept the frequency hopping signal of the first 100 μs of each frequency point from the mixed signal as the reference input signal of the first-level adaptive canceller and store it in the corresponding storage area; wherein, different frequency Points are stored in different storage areas.