Satellite navigation polarization anti-interference method, device, computer equipment and medium

By connecting the CNC attenuator and CNC phase regulator behind the antenna quadrature feed point of the satellite navigation receiver, a simulated polarization weight vector is constructed and the parameter value is optimized and adjusted, the problem of lack of effective multipolar interference suppression methods in the prior art is solved, and effective suppression of multipolar interference and improvement of the stability and accuracy of the navigation signal is achieved.

CN119247409BActive Publication Date: 2025-03-07NAT UNIV OF DEFENSE TECH
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Patent Information

Application Number
CN202411771139.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-04
Publication Date
2025-03-07
Estimated Expiration
2044-12-04

AI Technical Summary

Technical Problem

The lack of effective multi-polar interference suppression method for satellite navigation in the prior art has led to a greater impact on the multi-polar interference in the complex electromagnetic environment.

Method used

By connecting the CNC attenuator and the CNC phase regulator behind the antenna quadrature feed point of the ground navigation receiver, a simulated polarization weight vector is constructed, and the adjustment parameter value is obtained through the optimization strategy and the current antenna polarization ratio to improve the multi-polarization interference suppression performance.

Benefits of technology

It realizes effective suppression of multi-polar interference, improves the anti-interference ability of the satellite navigation system, and ensures the stability and accuracy of the navigation signal.

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Abstract

The present invention provides a polarization anti-interference method, device, computer equipment and medium for satellite navigation, wherein the method includes: obtaining the vertical polarization response vector and the horizontal polarization response vector of the first orthogonal feeding point and the second orthogonal feeding point, calculating the current antenna polarization ratio, and obtaining the analog domain polarization weight vector of the first orthogonal feeding point and the second orthogonal feeding point based on the preset optimization strategy and the current antenna polarization ratio; inputting the analog domain polarization weight vector into the corresponding digital attenuator and digital phase modulator for adjustment to obtain the positioning information after anti-interference. Beneficial effects of the present invention: The adjustment parameter value is obtained by the optimization strategy and the current antenna polarization ratio, thereby improving the multi-polarization interference suppression performance.
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Description

Technical Field

[0001] The present invention relates to the field of satellite navigation, and in particular to a satellite navigation polarization anti-interference method, device, computer equipment and medium. Background Art

[0002] In recent years, with the rapid development of electromagnetic wave polarization and polarization radar countermeasure technology, navigation countermeasure scenarios have become more and more complex and severe, with a trend of gradually moving from the energy domain and time-frequency domain to the polarization domain. Satellite navigation interference signals are not only diversified in time-frequency and space-time characteristic dimensions, but can also simulate multi-polarization interference in the radar field. Multi-polarization interference mainly refers to multiple interference signals with different polarization forms from the same direction.

[0003] With the increasing complexity of the electromagnetic environment and the development of the field of electromagnetic wave polarization, multi-polarization interference has become a new type of interference style in the field of satellite navigation confrontation, but there is currently no method to suppress satellite navigation multi-polarization interference. Summary of the invention

[0004] The main purpose of the present invention is to provide a satellite navigation polarization anti-interference method, device, computer equipment and medium, aiming to solve the problem that there is currently no satellite navigation multi-polarization interference suppression method.

[0005] The present invention provides a satellite navigation polarization anti-interference method, which is implemented by a ground navigation receiver, a digitally controlled attenuator, a digitally controlled phase modulator and a combiner, wherein a first orthogonal feeding point and a second orthogonal feeding point of an antenna of the ground navigation receiver are respectively connected to the digitally controlled attenuator and the digitally controlled phase modulator, the digitally controlled attenuator and the digitally controlled phase modulator are connected to a combiner, the combiner is connected to a radio frequency front end of the ground navigation receiver, the radio frequency front end is connected to a baseband processing unit of the ground navigation receiver, and the method is applied to the baseband processing unit, comprising:

[0006] Acquire a first vertical polarization response vector and a first horizontal polarization response vector of the first orthogonal feeding point, and a second vertical polarization response vector and a second horizontal polarization response vector of the second orthogonal feeding point;

[0007] Calculating a current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector, and the second horizontal polarization response vector;

[0008] Constructing an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point;

[0009] The first analog domain polarization weight vector is input into a digitally controlled attenuator and a digitally controlled phase modulator connected to a first orthogonal feeding point, and the second analog domain polarization weight vector is input into a digitally controlled attenuator and a digitally controlled phase modulator connected to a second orthogonal feeding point for adjustment to obtain positioning information after anti-interference.

[0010] Further, the step of calculating the current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector comprises:

[0011] set up

[0012]

[0013]

[0014]

[0015] in, , are respectively the first vertical polarization response vector and the first horizontal polarization response vector of the first orthogonal feeding point, and are respectively a second vertical polarization response vector and a second horizontal polarization response vector of a second orthogonal feeding point, and N represents the number of antennas;

[0016] According to the formula The current antenna polarization ratio is calculated, where n ranges from 1 to N and is an integer.

[0017] Furthermore, the step of constructing an optimization function and constraints based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point includes:

[0018] Construct the equivalent simulation domain polarization weight vector, then

[0019]

[0020]

[0021]

[0022] in, and are respectively analog domain polarization weight vectors for the first orthogonal feeding point and the second orthogonal feeding point, is the equivalent simulation domain polarization weight vector, then:

[0023]

[0024] ;

[0025] According to the formula

[0026] Calculate the APEFN index; where, is the APEFN indicator, for dimensional all-1 vector;

[0027] pass represents the corrected antenna polarization ratio;

[0028]

[0029]

[0030] but:

[0031]

[0032] in,

[0033]

[0034] By optimizing the function and the constraints:

[0035]

[0036] The augmented Lagrange multiplier method is used to solve and construct the cost function:

[0037]

[0038] right Taking the derivative, we get

[0039]

[0040] Let the derivative be 0, then

[0041]

[0042] but

[0043] Get the solution formula

[0044]

[0045] According to the solution formula, the first simulation domain polarization weight vector can be obtained: and the second simulation domain polarization weight vector The numerical value of .

[0046] Furthermore, the step of constructing an optimization function and constraints based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point includes:

[0047] Determine whether the direction of the multi-polarization interference signal is known;

[0048] If the direction of the multi-polarization interference signal is known, re-decompose the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector of the first orthogonal feeding point and recalculate the target antenna polarization ratio according to the direction of the multi-polarization interference signal;

[0049] The inverse of the antenna polarization ratio is obtained as the analog domain weight ratio of each antenna to obtain the first analog domain polarization weight vector and the second analog domain polarization weight vector.

[0050] Furthermore, the antenna array of the ground navigation receiver is a seven-element satellite navigation antenna array.

[0051] Furthermore, the antenna is a microstrip antenna.

[0052] The present invention provides a satellite navigation polarization anti-interference device, comprising a ground navigation receiver, a digitally controlled attenuator, a digitally controlled phase modulator and a combiner, wherein a first orthogonal feeding point and a second orthogonal feeding point of an antenna of the ground navigation receiver are respectively connected to the digitally controlled attenuator and the digitally controlled phase modulator, the digitally controlled attenuator and the digitally controlled phase modulator are connected to the combiner, the combiner is connected to a radio frequency front end of the ground navigation receiver, the radio frequency front end is connected to a baseband processing unit of the ground navigation receiver, and the baseband processing unit comprises:

[0053] An acquisition module, configured to acquire a first vertical polarization response vector and a first horizontal polarization response vector of the first orthogonal feeding point, and a second vertical polarization response vector and a second horizontal polarization response vector of the second orthogonal feeding point;

[0054] a calculation module, configured to calculate a current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, a second vertical polarization response vector, and a second horizontal polarization response vector;

[0055] A construction module, configured to construct an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point;

[0056] An input module is used to input the first analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a first orthogonal feeding point, and to input the second analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a second orthogonal feeding point for adjustment to obtain positioning information after anti-interference.

[0057] 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.

[0058] 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.

[0059] The beneficial effects of the present invention are as follows: by connecting a digitally controlled amplitude modulator and a digitally controlled phase modulator after the orthogonal feeding point of the antenna, a simulated polarization weight vector is constructed, and the adjustment parameter value is obtained through the optimization strategy and the current antenna polarization ratio, thereby improving the multi-polarization interference suppression performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a schematic flow chart of a satellite navigation polarization anti-interference method according to an embodiment of the present invention;

[0061] Figure 2 This is a schematic diagram of the satellite navigation array antenna receiving polarized signals;

[0062] Figure 3 It is a schematic block diagram of the structure of a satellite navigation polarization anti-interference device according to an embodiment of the present invention;

[0063] Figure 4 A schematic block diagram of the structure of a computer device according to an embodiment of the present invention;

[0064] Figure 5 eigenvalue distribution of the covariance matrix of a multi-polarization interference signal in different scenarios according to an embodiment of the present invention;

[0065] Figure 6 It is a probability density function of the interference suppression performance improvement effect of different multi-polarization interference DOA ranges according to an embodiment of the present invention.

[0066] 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

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] Reference Figure 1 The present invention proposes a satellite navigation polarization anti-interference method, which is implemented by a ground navigation receiver, a digitally controlled attenuator, a digitally controlled phase modulator and a combiner. The first orthogonal feeding point and the second orthogonal feeding point of the antenna of the ground navigation receiver are respectively connected to the digitally controlled attenuator and the digitally controlled phase modulator, the digitally controlled attenuator and the digitally controlled phase modulator are connected to the combiner, the combiner is connected to the radio frequency front end of the ground navigation receiver, the radio frequency front end is connected to the baseband processing unit of the ground navigation receiver, and the method is applied to the baseband processing unit, including:

[0072] S1: Acquire a first vertical polarization response vector and a first horizontal polarization response vector of the first orthogonal feeding point, and a second vertical polarization response vector and a second horizontal polarization response vector of the second orthogonal feeding point;

[0073] S2: Calculating a current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector, and the second horizontal polarization response vector;

[0074] S3: constructing an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point;

[0075] S4: Input the first analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a first orthogonal feeding point, and input the second analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a second orthogonal feeding point for adjustment to obtain positioning information after anti-interference.

[0076] In step S1, Figure 2 As shown in the figure, for any far-field fully polarized electromagnetic wave, the direction of its electric field is perpendicular to the propagation direction of the electromagnetic wave, so the electric field can be decomposed into two orthogonal polarization components: vertical polarization and horizontal polarization. Then the Jones electric field vector of the far-field electromagnetic wave is expressed as:

[0077]

[0078] Among them, the first one in the above formula is the polarization vector of the electromagnetic wave (where s is in bold), and are the vertical polarization component and the horizontal polarization component respectively. The second s ( t ) is the envelope signal (the s is not bold), is the vector angle between the electric field and the vertical polarization component, is the leading phase of the vertical polarization component relative to the horizontal polarization component.

[0079] The polarization pattern of the satellite navigation antenna can be expressed as:

[0080]

[0081] in, is the antenna polarization pattern, are the azimuth and elevation angles, Indicates the antenna, and They are the directional diagrams of the antenna for vertically polarized signals and horizontally polarized signals respectively.

[0082] Antenna polarization ratio It is defined as the ratio of the vertical polarization pattern of the antenna to the horizontal polarization pattern, that is:

[0083]

[0084] Then the polarization response of the satellite navigation antenna receiving signal can be expressed as:

[0085]

[0086] Indicates the response of the satellite navigation antenna receiving the signal.

[0087] Under strong interference conditions, considering that the satellite navigation signal power is much weaker than the interference signal and noise power, in order to simplify the analysis, the satellite navigation signal is usually not considered. Then the satellite navigation antenna array receives multiple incoherent polarization interference signals from the same direction, which can be expressed as:

[0088]

[0089] in,

[0090]

[0091]

[0092]

[0093]

[0094] in, Indicates time, represents the number of multi-polarization interferences, Indicates the number of satellite navigation antennas, Receive data vector for satellite navigation antenna array , is the multi-polarization interference signal steering vector, express dimensional Gaussian white noise data vector, Indicates that the satellite navigation array antenna receives The polarization response of a polarization interference, Indicates The receiving data of the satellite navigation antenna, Indicates The antenna receives The polarization response of a polarization interference, is the incident signal wavelength, For the The three-dimensional coordinates of the array elements, is the plane wave unit propagation vector.

[0095] but:

[0096]

[0097]

[0098]

[0099] therefore:

[0100]

[0101]

[0102]

[0103]

[0104]

[0105] in, Represents the diagonalization of a vector matrix.

[0106] If the antenna patterns of the satellite navigation array are all ideal patterns, the ratio of the horizontal polarization response to the vertical polarization response of each array element is equal, that is:

[0107]

[0108] but:

[0109]

[0110] in, ,

[0111] is the antenna array polarization ratio vector, is a complex constant, for -dimensional unit vector.

[0112] but:

[0113]

[0114] At this time, the steering vectors of all multi-polarization interferences are the same and unique, regardless of the number of multi-polarization interferences. According to the principle of signal subspace decomposition, the superimposed interference of the same steering vector is still in the same interference subspace, which can be regarded as a single interference, consuming only one degree of freedom of the satellite navigation antenna array.

[0115] If the polarization characteristics of each element of the satellite navigation antenna array are not ideal, the ratio of the horizontal polarization response to the vertical polarization response of each satellite navigation antenna is not equal. and Nonlinear correlation, at this time:

[0116]

[0117] at this time,

[0118]

[0119] Since the polarization interferences from the same direction are unrelated, When , the multi-polarization interference corresponds to two steering vectors, forming two interference subspaces. At this time, the multi-polarization interference incident from the same direction will further deteriorate the degree of freedom of the satellite navigation antenna array and have a greater impact on the anti-interference effect of satellite navigation.

[0120] Satellite navigation anti-interference criteria are all based on the inversion of the signal covariance matrix and other related calculations. In order to obtain a general rule conclusion, it is assumed that the same direction transmits countless interferences with different polarizations, that is, , and set its total power fixed. Then the signal covariance matrix received by the antenna array is:

[0121]

[0122]

[0123]

[0124]

[0125] The covariance matrix is ​​simplified to:

[0126] CST Studio Suite 2023 is used to simulate a common 7-element satellite navigation antenna array operating at the BeiDou B3I frequency (1268MHz). The vertical and horizontal polarization responses of each satellite navigation antenna at different azimuth and elevation angles are obtained, and then the gain and polarization ratio of each satellite navigation antenna are obtained.

[0127] In one embodiment, the step S2 of calculating the current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector comprises:

[0128] S201:

[0129]

[0130] in, , are respectively the first vertical polarization response vector and the first horizontal polarization response vector of the first orthogonal feeding point, and are respectively a second vertical polarization response vector and a second horizontal polarization response vector of a second orthogonal feeding point, and N represents the number of antennas;

[0131] S202: According to the formula The current antenna polarization ratio is calculated, where n ranges from 1 to N and is an integer.

[0132] In one embodiment, the step S3 of constructing an optimization function and constraints based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point includes:

[0133] S301: Construct an equivalent simulation domain polarization weight vector, then

[0134]

[0135] in, and are respectively analog domain polarization weight vectors for the first orthogonal feeding point and the second orthogonal feeding point, is the equivalent simulation domain polarization weight vector, then:

[0136]

[0137] ;

[0138] S302: According to the formula

[0139]

[0140] Calculate the APEFN index; where, is the APEFN indicator, for dimensional all-1 vector;

[0141] S303: Passed represents the corrected antenna polarization ratio;

[0142]

[0143] but:

[0144]

[0145] in,

[0146]

[0147] S304:

[0148] By optimizing the function and the constraints:

[0149]

[0150] S305:

[0151] The augmented Lagrange multiplier method is used to solve and construct the cost function:

[0152]

[0153] S306:

[0154] right Taking the derivative, we get

[0155]

[0156] Let the derivative be 0, then

[0157]

[0158] but

[0159] Get the solution formula

[0160]

[0161] S307: According to the solution formula, the first simulation domain polarization weight vector and the second simulation domain polarization weight vector The numerical value of .

[0162] By formula Calculate the multi-polarization interference suppression evaluation index. The first part of the index represents the antenna gain, and the second part represents the antenna polarization ratio deviation. To ensure that the antenna polarization ratio vector is greater than 1 as a whole, use Represents the corrected antenna polarization ratio. This method constructs an equivalent analog domain polarization weight vector and augmented Lagrange multipliers, and only requires one matrix inversion operation to solve the analog domain polarization weight vector. This not only achieves real-time suppression of multi-polarization interference, but also greatly saves computing resources.

[0163] In one embodiment, the step S3 of constructing an optimization function and constraints based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point includes:

[0164] S311: Determine whether the direction of the multi-polarization interference signal is known;

[0165] S312: If the direction of the multi-polarization interference signal is known, re-decompose the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector of the first orthogonal feeding point and the second orthogonal feeding point according to the direction of the multi-polarization interference signal, and recalculate the target antenna polarization ratio;

[0166] S313: Calculate the inverse of the antenna polarization ratio as the analog domain weight ratio of each antenna, and obtain the first analog domain polarization weight vector and the second analog domain polarization weight vector.

[0167] In this embodiment, when the direction of arrival (DOA) of the multi-polarization interference signal is accurately known, the inconsistency of the antenna polarization ratio can be completely eliminated by adjusting the analog domain weight ratio of each antenna to the inverse of the corresponding antenna polarization ratio, thereby achieving the optimal multi-polarization interference suppression effect. At this time, the array degree of freedom consumed by the multi-polarization interference is changed from 2 to 1. However, this condition requires that the direction of arrival of the multi-polarization interference signal is known, and is not universal.

[0168] In one embodiment, the antenna array of the ground navigation receiver is a seven-element satellite navigation antenna array.

[0169] The seven-element satellite navigation antenna array is a key component in satellite navigation systems for enhancing signal reception and anti-interference capabilities. The seven-element antenna array can significantly improve positioning accuracy by optimizing the signal reception and processing processes.

[0170] In one embodiment, the antenna is a microstrip antenna.

[0171] Since microstrip antennas have the advantages of thin profile, small size, and easy commonality, and satellite navigation signals are right-hand circularly polarized signals, satellite navigation array antennas are all designed as right-hand circularly polarized microstrip antennas. Conventional satellite navigation anti-interference research usually assumes that the satellite navigation antenna is an ideal point source, does not consider the antenna pattern characteristics, and also ignores the polarization characteristics of the antenna. However, due to the structural characteristics of the microstrip antenna, as well as the limitations of device accuracy and processing level, the antenna pattern is not isotropic, and the antenna polarization does not present the ideal right-hand circularly polarized characteristics, but has cross-polarization characteristics. In other words, the actual satellite navigation array antenna can not only receive right-hand circularly polarized signals, but also other polarization signals. This non-ideal polarization characteristic also has a non-negligible impact on satellite navigation anti-interference.

[0172] Simulation verification of the effectiveness of the polarization equalization modulus two-stage adaptive anti-interference strategy:

[0173] The DOA range of multi-polarization interference is set to [x, y], where x is the elevation angle range and y is the azimuth angle range. The augmented Lagrange multiplier method is used to solve the analog domain polarization weight vector corresponding to the minimum value of the APEFN indicator for different multi-polarization interference DOA ranges. The two-level adaptive anti-interference effect of polarization equalization modulus is compared with the anti-interference effect of traditional satellite navigation, and the probability density function PDF, mean and standard deviation of the multi-polarization interference suppression performance improvement effect are obtained.

[0174] Table 1

[0175]

[0176] From Table 1 above and Figure 5-6 It can be seen that the multi-polarization interference suppression performance improvement effect of the polarization equalization modulus two-stage adaptive anti-interference strategy based on the augmented Lagrange multiplier method decreases with the increase of the DOA (direction of arrival) range of the multi-polarization interference. When the multi-polarization interference DOA range is [2,2], the multi-polarization interference suppression performance improvement effect is as high as 30.78dB. When the multi-polarization interference DOA range is [6,6], the multi-polarization interference suppression performance is greater than 20dB overall. When the DOA range is within [18,18], the improvement effect is also 10.06dB. In addition, the PDF of the multi-polarization interference suppression performance improvement effect under this strategy is more concentrated and the variance is smaller. The maximum is only 11.59dB and the minimum is 6.05dB, indicating that the improvement effect of this strategy is relatively stable and robust. Figure 5 VLP (Vertical linear polarization) is vertical linear polarization, HLP (Horizontal linear polarization) is horizontal linear polarization, OLP (Orthogonal linear polarization) is orthogonal linear polarization (i.e. horizontal linear polarization + vertical linear polarization), RHCP (Right-handed circular polarization) is right-hand circular polarization, LHCP (left-handed circular polarization) is left-hand circular polarization, and OCP (Orthogonal linear polarization) is orthogonal circular polarization (i.e. right-hand circular polarization + left-hand circular polarization).

[0177] With the development of the field of electromagnetic wave polarization, multi-polarization interference suppression has become a new hot spot in the field of satellite navigation confrontation. The present invention first establishes a polarization signal reception model for satellite navigation antenna arrays, and proves that the non-ideal characteristics of the polarization response of the antenna array will cause the multi-polarization interference effect of the same direction to consume two array degrees of freedom instead of one. Secondly, in the analysis of the multi-polarization interference suppression performance of the satellite navigation antenna array, a multi-polarization interference suppression evaluation index based on the correlation of polarization response is constructed, including the antenna polarization ratio and the antenna gain, and it is pointed out that the inconsistent characteristics of the antenna polarization ratio are the main reason for the decline in the multi-polarization interference suppression performance, and the antenna gain will amplify this inconsistency, which also affects the polarization interference suppression performance. In order to improve the multi-polarization interference suppression performance, a polarization equalization modulus two-stage adaptive anti-interference algorithm is proposed, the antenna polarization equivalent factor norm (APEFN) optimization target is constructed, the augmented Lagrange multiplier method is used to solve the polarization weight vector, the antenna polarization response is adaptively equalized in the analog domain, and after being combined by the combiner, the digital domain sampled signal is subjected to spatial domain adaptive filtering. Finally, in the actual measurement verification and simulation analysis, it was proved that multi-polarization interference deteriorates the performance of traditional satellite navigation anti-interference algorithms and consumes array degrees of freedom, and the effectiveness of the polarization equalization module two-stage adaptive anti-interference algorithm was verified. When the multi-polarization interference DOA range is less than 6*6, the overall improvement of multi-polarization interference suppression performance is greater than 20dB.

[0178] Reference Figure 3 The present invention also provides a satellite navigation polarization anti-interference device, comprising a ground navigation receiver, a digitally controlled attenuator, a digitally controlled phase modulator and a combiner, wherein the first orthogonal feeding point and the second orthogonal feeding point of the antenna of the ground navigation receiver are respectively connected to the digitally controlled attenuator and the digitally controlled phase modulator, the digitally controlled attenuator and the digitally controlled phase modulator are connected to the combiner, the combiner is connected to the radio frequency front end of the ground navigation receiver, the radio frequency front end is connected to the baseband processing unit of the ground navigation receiver, and the baseband processing unit comprises:

[0179] An acquisition module 10 is used to acquire a first vertical polarization response vector and a first horizontal polarization response vector of the first orthogonal feeding point, and a second vertical polarization response vector and a second horizontal polarization response vector of the second orthogonal feeding point;

[0180] A calculation module 20, configured to calculate a current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector;

[0181] A construction module 30, configured to construct an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point;

[0182] The input module 40 is used to input the first analog domain polarization weight vector into the digitally controlled attenuator and the digitally controlled phase modulator connected to the first orthogonal feeding point, and input the second analog domain polarization weight vector into the digitally controlled attenuator and the digitally controlled phase modulator connected to the second orthogonal feeding point for adjustment to obtain the positioning information after anti-interference.

[0183] The limitations and functions of each module of the satellite navigation polarization anti-interference device in the present invention correspond to the above-mentioned satellite navigation polarization anti-interference method, and will not be repeated here.

[0184] Reference Figure 4 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: Figure 4 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 polarization response vectors, 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 polarization anti-interference method of satellite navigation described in any of the above embodiments can be implemented.

[0185] Those skilled in the art will understand that Figure 4 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.

[0186] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the polarization anti-interference method for satellite navigation described in any of the above embodiments can be implemented.

[0187] 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).

[0188] 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.

[0189] 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.

[0190] 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.

[0191] 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 satellite navigation polarization anti-interference method, characterized in that: The method is implemented by a ground navigation receiver, a digitally controlled attenuator, a digitally controlled phase modulator, and a combiner. The first orthogonal feeding point and the second orthogonal feeding point of the antenna of the ground navigation receiver are respectively connected to the digitally controlled attenuator and the digitally controlled phase modulator. The digitally controlled attenuator and the digitally controlled phase modulator are connected to the combiner. The combiner is connected to the radio frequency front end of the ground navigation receiver. The radio frequency front end is connected to the baseband processing unit of the ground navigation receiver. The method is applied to the baseband processing unit and includes: Acquire a first vertical polarization response vector and a first horizontal polarization response vector of the first orthogonal feeding point, and a second vertical polarization response vector and a second horizontal polarization response vector of the second orthogonal feeding point; Calculating a current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector, and the second horizontal polarization response vector; Constructing an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point; Inputting the first analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a first orthogonal feeding point, and inputting the second analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a second orthogonal feeding point for adjustment, to obtain positioning information after anti-interference; The step of calculating the current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector comprises: set up in, , are respectively the first vertical polarization response vector and the first horizontal polarization response vector of the first orthogonal feeding point, and are respectively a second vertical polarization response vector and a second horizontal polarization response vector of a second orthogonal feeding point, and N represents the number of antennas; According to the formula Calculate the current antenna polarization ratio, where n is an integer ranging from 1 to N; The step of constructing an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point includes: Construct the equivalent simulation domain polarization weight vector, then in, and are respectively analog domain polarization weight vectors for the first orthogonal feeding point and the second orthogonal feeding point, is the equivalent simulation domain polarization weight vector, then: According to the formula Calculate the APEFN index; where, is the APEFN indicator, for dimensional all-1 vector; pass represents the corrected antenna polarization ratio; but: in, By optimizing the function and the constraints: The augmented Lagrange multiplier method is used to solve and construct the cost function: right Taking the derivative, we get Let the derivative be 0, then but Get the solution formula According to the solution formula, the first simulation domain polarization weight vector can be obtained: and the second simulation domain polarization weight vector The numerical value of .

2. The satellite navigation polarization anti-interference method according to claim 1, characterized in that: The step of constructing an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point includes: Determine whether the direction of the multi-polarization interference signal is known; If the direction of the multi-polarization interference signal is known, re-decompose the first vertical polarization response vector, the first horizontal polarization response vector, the second vertical polarization response vector and the second horizontal polarization response vector of the first orthogonal feeding point and recalculate the target antenna polarization ratio according to the direction of the multi-polarization interference signal; The inverse of the antenna polarization ratio is obtained as the analog domain weight ratio of each antenna to obtain the first analog domain polarization weight vector and the second analog domain polarization weight vector.

3. The satellite navigation polarization anti-interference method according to claim 1, characterized in that: The antenna array of the ground navigation receiver is a seven-element satellite navigation antenna array.

4. The satellite navigation polarization anti-interference method according to claim 1, characterized in that: The antenna is a microstrip antenna.

5. A satellite navigation polarization anti-interference device, which implements the satellite navigation polarization anti-interference method according to any one of claims 1 to 4, characterized in that: The invention comprises a ground navigation receiver, a digitally controlled attenuator, a digitally controlled phase modulator and a combiner, wherein the first orthogonal feeding point and the second orthogonal feeding point of the antenna of the ground navigation receiver are respectively connected to the digitally controlled attenuator and the digitally controlled phase modulator, the digitally controlled attenuator and the digitally controlled phase modulator are connected to the combiner, the combiner is connected to the radio frequency front end of the ground navigation receiver, the radio frequency front end is connected to the baseband processing unit of the ground navigation receiver, and the baseband processing unit comprises: An acquisition module, configured to acquire a first vertical polarization response vector and a first horizontal polarization response vector of the first orthogonal feeding point, and a second vertical polarization response vector and a second horizontal polarization response vector of the second orthogonal feeding point; a calculation module, configured to calculate a current antenna polarization ratio according to the first vertical polarization response vector, the first horizontal polarization response vector, a second vertical polarization response vector, and a second horizontal polarization response vector; A construction module, configured to construct an optimization function and constraint conditions based on a preset optimization strategy and the current antenna polarization ratio to obtain a first analog domain polarization weight vector of the first orthogonal feeding point and a second analog domain polarization weight vector of the second orthogonal feeding point; An input module is used to input the first analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a first orthogonal feeding point, and to input the second analog domain polarization weight vector into a digitally controlled attenuator and a digitally controlled phase modulator connected to a second orthogonal feeding point for adjustment to obtain positioning information after anti-interference.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. 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 4 are implemented.