GNSS (Global Navigation Satellite System) matching spectrum interference suppression method based on polarity resection

Abstract

The invention provides a GNSS (Global Navigation Satellite System) matched spectrum interference suppression method based on polarity removal, which comprises the following steps of: sampling a multi-access interference mixed signal containing an enhanced signal through a receiver to obtain a received signal; performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence; inputting the amplitude sequence into an FFT (Fast Fourier Transform) notch filter to filter interference components exceeding a threshold value to obtain a target amplitude sequence; and performing inverse polarity change on the target amplitude sequence and the phase sequence to obtain a target navigation signal. The method has the beneficial effects that the problem that the positioning capability of a traditional navigation receiver is reduced under multiple access interference scenes such as navigation enhancement and the problem that the performance of a polarity elimination algorithm is deteriorated under a low interference-to-signal ratio are solved, and the robustness of the receiver is improved.

Description

Technical Field

[0001] The present invention relates to the field of navigation, and in particular to a GNSS matching spectrum interference suppression method based on a polarity removal algorithm. Background Art

[0002] In recent years, there has been a lot of interest in the navigation augmentation capabilities of low earth orbit (LEO) satellites. These satellites are expected to improve the capabilities of the Global Navigation Satellite System (GNSS) by providing stronger signals and additional data channels. With their lower orbital paths, LEO satellites have shorter signal transmission times, which can potentially improve the overall accuracy and availability of positioning.

[0003] However, the traditional GNSS receivers that are widely used today do not have the ability to process low-orbit augmentation signals. The high power levels inherent in the augmentation signals will cause strong multi-access interference to traditional GNSS receivers. The current methods for dealing with this type of matched spectrum interference are immature, resulting in poor ability to process low-orbit augmentation signals. Summary of the invention

[0004] The main purpose of the present invention is to provide a GNSS matching spectrum interference suppression method based on a polarity removal algorithm, aiming to solve the problem of poor ability to process low-orbit augmentation signals.

[0005] The present invention provides a GNSS matching spectrum interference suppression method based on a polarity removal algorithm, comprising: The multiple access interference mixed signal containing the enhanced signal is sampled by the receiver to obtain a received signal; Performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence; Inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value, thereby obtaining a target amplitude sequence; The target amplitude sequence and phase sequence are subjected to reverse polarity changes to obtain a target navigation signal.

[0006] Furthermore, the step of inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value to obtain a target amplitude sequence includes: According to the formula Performing Fourier transformation on the amplitude sequence to obtain an intermediate amplitude sequence; wherein, is the number of discrete Fourier transform points, n represents the serial number of the received signal, represents the signal value of the nth received signal, represents the signal value of the kth data in the intermediate amplitude sequence, j represents the imaginary unit, e is the logarithm of the natural number, and k represents the sequence number of the intermediate amplitude sequence; According to the formula Calculate the amplitude of the intermediate amplitude sequence; wherein, represents the amplitude of the kth intermediate amplitude sequence, represents the real part, represents the imaginary component; According to the formula Set the threshold to the mean of the spectrum amplitude; represents the mean value of the spectrum amplitude; when When , set M(k) corresponding to k to zero, When k is obtained, the M(k) corresponding to k is retained to obtain the target amplitude sequence .

[0007] Furthermore, the step of performing reverse polarity changes on the target amplitude sequence and phase sequence to obtain a target navigation signal includes: According to the formula Performing an inverse discrete Fourier transform on the target amplitude sequence to obtain a temporary amplitude sequence; Represents the signal value of the nth data in the temporary amplitude sequence, Represents the signal value of the kth data in the target amplitude sequence; The temporary amplitude sequence and the phase sequence are recombined to obtain the target navigation signal.

[0008] Furthermore, after the step of sampling the multiple access interference mixed signal containing the enhanced signal by the receiver to obtain the received signal, the step further includes: Obtaining interference power of an interference signal in the received signal; Determining whether the interference power is greater than a power threshold; If the interference power is greater than the power threshold, the step of performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence is performed.

[0009] Further, after the step of determining whether the interference power is greater than the power threshold, the step further includes: If the interference power is less than or equal to a power threshold, the received signal is used as a navigation signal.

[0010] Furthermore, the receiver is a GNSS receiver.

[0011] Furthermore, the received signal includes a satellite signal, noise and a navigation enhancement signal.

[0012] The present invention also provides a GNSS matching spectrum interference suppression device based on a polarity removal algorithm, comprising: A module is used to sample a multiple access interference mixed signal containing an enhanced signal through a receiver to obtain a received signal; A polarity conversion module, used for performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence; An input module, used for inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value and obtain a target amplitude sequence; The reverse polarity change module is used to reverse the polarity of the target amplitude sequence and phase sequence to obtain a target navigation signal.

[0013] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned methods are implemented.

[0015] The beneficial effects of the present invention are as follows: a multi-access interference mixed signal containing an enhanced signal is sampled by a receiver to obtain a received signal; the received signal is polarity-converted to obtain an amplitude sequence and a phase sequence; the amplitude sequence is input into an FFT notch filter to filter out interference components exceeding a threshold value to obtain a target amplitude sequence; the target amplitude sequence and phase sequence are reversely polarized to obtain a target navigation signal, thereby solving the problem of performance deterioration of a polarity elimination algorithm under a low interference-to-signal ratio and improving the robustness of the receiver. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a block diagram of a receiver according to an embodiment of the present invention; Figure 2 is a signal power spectrum diagram according to an embodiment of the present invention; Figure 3 It is a schematic diagram of a decrease in equivalent carrier-to-noise ratio and an increase in pseudo-code ranging error according to an embodiment of the present invention; Figure 4 is an algorithm flow chart of an embodiment of the present invention; Figure 5 This is a principle block diagram of an improved algorithm according to an embodiment of the present invention; Figure 6 It is a schematic diagram of simulation results of a PE algorithm and an improved PE algorithm for processing a received signal according to an embodiment of the present invention; Figure 7 It is a flow chart of a GNSS matching spectrum interference suppression method based on a polarity removal algorithm according to an embodiment of the present invention; Figure 8It is a structural schematic block diagram of a GNSS matching spectrum interference suppression device based on a polarity removal algorithm according to an embodiment of the present invention; Fig. 9 The present invention is a block diagram showing the structure of a computer device according to an embodiment of the present invention.

[0017] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly. The connection can be a direct connection or an indirect connection.

[0020] The term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there may be three relationships. For example, A and B can represent three situations: A exists alone, A and B exist at the same time, and B exists alone.

[0021] In addition, in the present invention, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] Figure 1 A simplified block diagram of the GNSS receiver signal processing is depicted. The figure shows that the received signal is passed through a low noise amplifier, bandpass filter and down-converted to an intermediate frequency (IF), and then passes through an ADC to output a discrete digital IF signal, which is processed by the acquisition, tracking and navigation units respectively, and finally outputs the positioning result.

[0023] The received signal r(t) consists of three parts: satellite signal s(t), noise n(t) and navigation enhancement signal j(t). The discrete mathematical model of the mid-frequency signal can be expressed as: (1) Where s[n] is the digital version of the BD B3I signal, which is defined as: (2) In the above formula, is the signal power, C[n] is a pseudo-random code with a code rate of 10.23MHz and a code length of 10230, and D[n] is the navigation message. is the intermediate frequency, is the phase delay. In equation (1), w[n] is the variance of The additive Gaussian white noise of j[n] is the navigation enhancement signal, and its form is consistent with formula (2), but the pseudo-random code and navigation message are different. Its expression is: (3) Figure 2 The power spectrum density of the traditional satellite signal and the navigation enhancement signal is compared, and the power of the enhancement signal is set to be 30dB higher than that of the traditional signal. Since the power spectrum shape of the enhancement signal is basically the same as that of the traditional satellite signal, but the power is much greater than that of the traditional satellite signal, when the non-upgraded receiver receives the mixed signal, it is unable to capture and track the enhancement signal. Therefore, for the receiver, the navigation enhancement signal can be equivalent to a matching spectrum interference with a constant envelope.

[0024] The impact of enhanced signals on traditional signals can be quantitatively measured by two indicators: equivalent carrier-to-noise ratio and pseudorange measurement error. This shows that the equivalent carrier-to-noise ratio can reliably describe the impact of interference on the coherent and incoherent outputs of the receiver and is an important indicator of the capture and tracking performance of GNSS receivers. The definition of equivalent carrier-to-noise ratio is: (4) in: C s is the received power of the signal; N0 is the thermal noise power spectrum density, and its typical value is -204dBW / Hz; I j is the equivalent white noise power spectrum density of all interference signals. The formula for further expressing the equivalent carrier-to-noise ratio as the interference-to-signal ratio (the power ratio of the interference signal to the useful signal) is: (5) Where Q is the anti-interference quality factor, which is 1.5 for matched spectrum interference, fc is the code rate, C / N0 is the carrier-to-noise ratio in the interference-free state, and J / S is the interference-to-signal ratio.

[0025] The satellite navigation receiver measures the propagation delay of the navigation positioning signal from the satellite, thereby measuring the distance between the phase center of the satellite signal receiving antenna and the phase center of the satellite transmitting antenna (pseudo-range measurement value), and then combines it with the satellite's on-orbit position to solve the user's position. The position error is (6) Where: — three-dimensional position error; PDOP—three-dimensional position geometric precision factor; —Pseudorange measurement error.

[0026] It can be seen that the positioning error depends on the pseudo-range measurement error and the error magnification factor PDOP. When the satellite constellation involved in positioning is selected, the positioning accuracy of the receiver can be reflected by the pseudo-range measurement accuracy. The pseudo-range measurement error mainly comes from the error of the receiver tracking loop. Without considering the form of carrier loop auxiliary code loop tracking, for the non-coherent front-subtraction and back-power method, the mean square error of the code phase measurement error in units of code chips can be estimated using the following formula: (7) Where: B n —Noise bandwidth of the code loop, Hz; B fe —RF front-end bandwidth; T c — Pseudocode width; T coh is the coherence integration time; D——The distance between the front and rear correlators It is converted into a form with m as the unit through formula (7): (8) is the distance corresponding to one chip, corresponding to the 10.23MHz code rate of B3I. The value is 29.33m. Combined with formula (5), when the loop bandwidth is 2Hz, the RF front-end bandwidth is 20MHz, the coherent integration time is 20ms, and the correlator spacing is 0.5 code chips, as the interference-to-signal ratio increases, the changes in the equivalent carrier-to-noise ratio of the receiver and the pseudo-code tracking error are as follows: Figure 3 shown.

[0027] Depend on Figure 3 It can be seen that the enhanced signal will reduce the equivalent carrier-to-noise ratio of the receiver and increase the ranging error, which will in turn reduce the positioning accuracy of the noise receiver and even make it impossible to locate.

[0028] Reference Figure 7 The present invention proposes a GNSS matching spectrum interference suppression method based on a polarity removal algorithm, comprising: S1: The receiver samples the mixed signal of multiple access interference containing the enhanced signal to obtain a received signal; S2: performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence; S3: inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value, thereby obtaining a target amplitude sequence; S4: Perform reverse polarity changes on the target amplitude sequence and phase sequence to obtain a target navigation signal.

[0029] As described in step S1 above, the receiver samples the mixed signal of multiple access interference containing the enhanced signal to obtain a received signal, which can be converted into a baseband signal for subsequent polarity conversion. The specific steps of sampling the navigation signal by the receiver are prior art and will not be repeated here.

[0030] As described in the above step S2, the polarity of the received signal is transformed to obtain an amplitude sequence and a phase sequence, so as to extract the amplitude sequence and process the amplitude sequence.

[0031] As described in step S3 above, the amplitude sequence is input into the FFT notch filter to filter out the interference components exceeding the threshold value to obtain the target amplitude sequence. Since the enhanced signal will reduce the equivalent carrier-to-noise ratio of the receiver, and the enhanced signal is generally more powerful than the original satellite signal, it is necessary to filter out the enhanced signal, that is, to filter out the maximum component.

[0032] As described in step S4, the target amplitude sequence and phase sequence are reversed in polarity to obtain the target navigation signal. After the maximum component is eliminated, the interference signal is eliminated. Therefore, the subsequent target amplitude sequence and phase sequence are reversed in polarity to obtain the target navigation signal. The problem of performance deterioration of the polarity elimination algorithm under low interference-to-signal ratio is solved, and the robustness of the receiver is improved.

[0033] In one embodiment, the step S3 of inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value to obtain a target amplitude sequence includes: S301: According to the formula Performing Fourier transformation on the amplitude sequence to obtain an intermediate amplitude sequence; wherein, is the number of discrete Fourier transform points, n represents the serial number of the received signal, represents the signal value of the nth received signal, represents the signal value of the kth data in the intermediate amplitude sequence, j represents the imaginary unit, e is the logarithm of the natural number, and k represents the sequence number of the intermediate amplitude sequence; S302: According to the formula Calculate the amplitude of the intermediate amplitude sequence; wherein, represents the amplitude of the kth intermediate amplitude sequence, represents the real part, represents the imaginary component; S303: According to the formula Set the threshold to the mean of the spectrum amplitude; represents the mean value of the spectrum amplitude; S304: When When , set M(k) corresponding to k to zero, When k is obtained, the M(k) corresponding to k is retained to obtain the target amplitude sequence .

[0034] As described in the above steps S301-S304, the polarity elimination algorithm is essentially a combination of polarity conversion and transform domain notch filtering. The system block diagram is as follows: Figure 4 As shown in Figure 1. In the PE algorithm, the received signal is first sampled and then converted into a baseband signal. The sampled received signal is then polarity-converted into an amplitude and phase sequence. The amplitude sequence is directly filtered out from the sequence by an FFT notch filter, which removes the maximum component representing interference.

[0035] In one embodiment, the step S4 of performing reverse polarity change on the target amplitude sequence and phase sequence to obtain the target navigation signal includes: S401: According to the formula Performing an inverse discrete Fourier transform on the target amplitude sequence to obtain a temporary amplitude sequence; Represents the signal value of the nth data in the temporary amplitude sequence, Represents the signal value of the kth data in the target amplitude sequence; S402: Recombining the temporary amplitude sequence and the phase sequence to obtain the target navigation signal.

[0036] As described in the above steps S401-S402, the interference suppressed received signal is transformed back to the time domain by using the inverse polarity formed by the amplitude sequence after notching (ie, the temporary amplitude sequence) and the original phase sequence.

[0037] In one embodiment, after the step S1 of sampling the multiple access interference mixed signal containing the enhanced signal by the receiver to obtain the received signal, the method further includes: S201: Obtain interference power of an interference signal in the received signal; S202: Determine whether the interference power is greater than a power threshold; S203: If the interference power is greater than the power threshold, executing the step of performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence.

[0038] As described in the above steps S201-S203, the interference power can be obtained based on the autocorrelation of the received signal. When the interference power is small, its performance drops sharply. In order to solve this defect, an improved algorithm is proposed. By setting the receiving power threshold, the PE interference suppressor only works after the interference power reaches a certain value. When the interference power is lower than the threshold, the attenuation of the carrier-to-noise ratio of the satellite signal is not large, thereby improving the interference processing capability. The overall processing block diagram is shown in FIG. Figure 5 In a specific embodiment, when the interference signal power is around the noise level and the interference-to-signal ratio is less than 30 dB, the interference will not significantly affect the pseudo-range tracking error of the satellite signal, so the power threshold is set to -130 dBW.

[0039] In one embodiment, after the step S202 of determining whether the interference power is greater than the power threshold, the method further includes: S2031: If the interference power is less than or equal to the power threshold, use the received signal as a navigation signal.

[0040] As described in the above step S2031, if the interference power is less than or equal to the power threshold, the interference signal in the corresponding received signal will not have a significant impact on the pseudorange tracking error of the satellite signal.

[0041] In one embodiment, the receiver is a GNSS receiver.

[0042] In one embodiment, the received signal includes a satellite signal, noise and a navigation enhancement signal.

[0043] Reference Figure 8 The present invention also provides a GNSS matching spectrum interference suppression device based on a polarity removal algorithm, comprising: The module 10 is used to sample the multiple access interference mixed signal containing the enhanced signal through the receiver to obtain a received signal; The polarity conversion module 20 is used to convert the polarity of the received signal to obtain an amplitude sequence and a phase sequence; An input module 30, used for inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value, thereby obtaining a target amplitude sequence; The reverse polarity change module 40 is used to reverse the polarity of the target amplitude sequence and phase sequence to obtain a target navigation signal.

[0044] In one embodiment, the input module 30 includes: The Fourier transform submodule is used to calculate the Performing Fourier transformation on the amplitude sequence to obtain an intermediate amplitude sequence; wherein, is the number of discrete Fourier transform points, n represents the serial number of the received signal, represents the signal value of the nth received signal, represents the signal value of the kth data in the intermediate amplitude sequence, j represents the imaginary unit, e is the logarithm of the natural number, and k represents the sequence number of the intermediate amplitude sequence; The amplitude calculation submodule is used to calculate the Calculate the amplitude of the intermediate amplitude sequence; wherein, represents the amplitude of the kth intermediate amplitude sequence, represents the real part, represents the imaginary component; The threshold setting submodule is used to set the threshold value according to the formula Set the threshold to the mean of the spectrum amplitude; represents the mean value of the spectrum amplitude; Set submodule for When , set M(k) corresponding to k to zero, When k is obtained, the M(k) corresponding to k is retained to obtain the target amplitude sequence .

[0045] In one embodiment, the reverse polarity changing module 40 comprises: The inverse discrete Fourier transform submodule is used to calculate the inverse discrete Fourier transform according to the formula Performing an inverse discrete Fourier transform on the target amplitude sequence to obtain a temporary amplitude sequence; Represents the signal value of the nth data in the temporary amplitude sequence, Represents the signal value of the kth data in the target amplitude sequence; The recombining submodule is used to recombine the temporary amplitude sequence and the phase sequence to obtain the target navigation signal.

[0046] In one embodiment, the GNSS matching spectrum interference suppression device based on the polarity removal algorithm further includes: An interference power acquisition module, used to obtain the interference power of the interference signal in the received signal; An interference power judgment module, used to judge whether the interference power is greater than a power threshold; The execution module is used to execute the step of performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence if the interference power is greater than a power threshold.

[0047] In one embodiment, the GNSS matching spectrum interference suppression device based on the polarity removal algorithm further includes: As a module, it is used to use the received signal as a navigation signal if the interference power is less than or equal to a power threshold.

[0048] In one embodiment, the receiver is a GNSS receiver.

[0049] In one embodiment, the received signal includes a satellite signal, noise and a navigation enhancement signal.

[0050] In a specific embodiment, as the interference-to-signal ratio increases, the PE algorithm and the improved PE algorithm are used to process the received signal, respectively. The simulation parameter settings are shown in Table 1. The simulation results are shown in Table 1. Figure 6 shown.

[0051] Table 1 Simulation parameter settings It can be seen that in the low interference-to-signal ratio range, the receiver cannot capture the mixed signal after PE processing. At this time, if the PE algorithm is not used, the interference has little effect on the capture and tracking of satellite signals, and the improved power decision PE algorithm has little effect on the signal carrier-to-noise ratio attenuation.

[0052] Reference Fig. 9 In an embodiment of the present application, a computer device is also provided. The computer device may be a server, and its internal structure may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store various received signals, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the GNSS matching spectrum interference suppression method based on the polarity removal algorithm described in any of the above embodiments can be implemented.

[0053] Those skilled in the art will understand that Fig. 9 The structure shown in is merely a block diagram of a portion of the structure related to the present application solution and does not constitute a limitation on the computer device to which the present application solution is applied.

[0054] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the GNSS matching spectrum interference suppression method based on the polarity removal algorithm described in any of the above embodiments can be implemented.

[0055] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0056] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, device, article or method including the element.

[0057] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0058] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0059] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of the claims of the present invention.

Claims

1. A GNSS matching spectrum interference suppression method based on polarity excision, characterized in that: include: The multiple access interference mixed signal containing the enhanced signal is sampled by the receiver to obtain a received signal; Performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence; Inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value, thereby obtaining a target amplitude sequence; The target amplitude sequence and phase sequence are subjected to reverse polarity changes to obtain a target navigation signal.

2. The GNSS matching spectrum interference suppression method based on polarity removal algorithm according to claim 1, characterized in that: The step of inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value to obtain a target amplitude sequence comprises: According to the formula Performing Fourier transformation on the amplitude sequence to obtain an intermediate amplitude sequence; wherein, is the number of discrete Fourier transform points, n represents the serial number of the received signal, represents the signal value of the nth received signal, represents the signal value of the kth data in the intermediate amplitude sequence, j represents the imaginary unit, e is the logarithm of the natural number, and k represents the sequence number of the intermediate amplitude sequence; According to the formula Calculate the amplitude of the intermediate amplitude sequence; wherein, represents the amplitude of the kth intermediate amplitude sequence, represents the real part, represents the imaginary component; According to the formula Set the threshold to the mean of the spectrum amplitude; represents the mean value of the spectrum amplitude; when When , set M(k) corresponding to k to zero, When k is obtained, the M(k) corresponding to k is retained to obtain the target amplitude sequence .

3. The GNSS matching spectrum interference suppression method based on polarity removal algorithm according to claim 2, characterized in that: The step of performing reverse polarity changes on the target amplitude sequence and phase sequence to obtain a target navigation signal comprises: According to the formula Performing an inverse discrete Fourier transform on the target amplitude sequence to obtain a temporary amplitude sequence; Represents the signal value of the nth data in the temporary amplitude sequence, Represents the signal value of the kth data in the target amplitude sequence; The temporary amplitude sequence and the phase sequence are recombined to obtain the target navigation signal.

4. The GNSS matching spectrum interference suppression method based on polarity removal algorithm according to claim 1, characterized in that: After the step of sampling the multiple access interference mixed signal containing the enhanced signal by the receiver to obtain the received signal, the method further includes: Obtaining interference power of an interference signal in the received signal; Determining whether the interference power is greater than a power threshold; If the interference power is greater than the power threshold, the step of performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence is performed.

5. The GNSS matching spectrum interference suppression method based on polarity removal algorithm according to claim 1, characterized in that: After the step of determining whether the interference power is greater than the power threshold, the method further includes: If the interference power is less than or equal to a power threshold, the received signal is used as a navigation signal.

6. The GNSS matching spectrum interference suppression method based on polarity removal algorithm according to claim 1, characterized in that: The receiver is a GNSS receiver.

7. The GNSS matching spectrum interference suppression method based on polarity removal algorithm according to claim 1, characterized in that: The received signal includes a satellite signal, noise and a navigation enhancement signal.

8. A GNSS matching spectrum interference suppression device based on polarity excision algorithm, characterized in that: include: A module is used to sample a multiple access interference mixed signal containing an enhanced signal through a receiver to obtain a received signal; A polarity conversion module, used for performing polarity conversion on the received signal to obtain an amplitude sequence and a phase sequence; An input module, used for inputting the amplitude sequence into an FFT notch filter to filter out interference components exceeding a threshold value and obtain a target amplitude sequence; The reverse polarity change module is used to reverse the polarity of the target amplitude sequence and phase sequence to obtain a target navigation signal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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