Signal interference removal method, system, device, and storage medium

By using polarized array antennas in communication perception devices to identify and filter interference signals, the problem that communication perception devices cannot effectively identify interference signals is solved, effectively identifying and filtering of interference signals is achieved, and signal reception quality is improved.

WO2025035773A1PCT designated stage expired Publication Date: 2025-02-20ZTE CORP
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Patent Information

Application Number
PCT/CN2024/083645
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-08-17
Filing Date
2024-03-25
Publication Date
2025-02-20

AI Technical Summary

Technical Problem

The communication perception device cannot effectively identify the interfering signal in the received signal, resulting in the inability to reduce the impact of interference on the communication perception device.

Method used

By using a polarized array antenna in the first device, a signal is sent and interference information is identified, the interference identification result is obtained, and the corresponding parameter adjustment information is then sent to the second device to adjust the signal to distinguish the interference signal, and finally at the second device Interference filtering is performed in the signal.

Benefits of technology

Effectively identify and filter interference signals, reduce the impact of interference on communication perception equipment, and improve signal reception quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application discloses a signal interference removal method, a system, a device, and a storage medium. The method comprises the steps of: acquiring a first signal of a second device on the basis of a transmitted signal, and identifying interference information in the first signal to obtain an interference identification result; transmitting parameter adjustment information corresponding to the interference identification result to the second device, and acquiring a second signal corresponding to the parameter adjustment information; and performing interference filtering on the second signal on the basis of second polarization information in the second signal.
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Description

Anti-interference signal method, system, device and storage medium

[0001] Related applications

[0002] This application claims priority to Chinese patent application No. 202311041332.X filed on August 17, 2023, the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The present application relates to the field of wireless communication technology, and in particular to an anti-interference signal method, system, device and storage medium. Background Art

[0004] In recent years, with the continuous development and upgrading of communication technology, the exploration of 6G technology and concepts such as the Internet of Everything have been proposed and applied one after another. Communication sensing technology is an important direction of 6G. Improving the anti-interference ability of corresponding communication sensing equipment has become an urgent problem that needs to be solved. There are various interferences from space in the signals received by base stations or terminals. These interferences seriously affect the signal reception quality of base stations and terminals. However, current communication sensing devices cannot effectively identify the corresponding interference signals from the received signals, resulting in the inability to reduce the impact of interference on communication sensing devices.

[0005] Summary of the Invention

[0006] The main purpose of this application is to provide an anti-interference signal method, system, device and storage medium, aiming to solve the technical problem in related technologies that the communication perception device cannot effectively identify the corresponding interference signal from the received signal, resulting in the inability to reduce the impact of interference on the communication perception device.

[0007] To achieve the above objectives, an embodiment of the present application provides an anti-interference signal method, which is applied to a first device, the first device including a polarized array antenna, and the method includes:

[0008] Acquire a first signal of the second device based on the transmitted signal, and identify interference information in the first signal to obtain an interference identification result;

[0009] Sending parameter adjustment information corresponding to the interference identification result to the second device, and obtaining a second signal corresponding to the parameter adjustment information;

[0010] Interference filtering is performed on the second signal based on the second polarization information in the second signal.

[0011] The present application also provides an anti-interference signal system, the anti-interference signal system comprising a first device and a second device, the first device further comprising a polarized array antenna;

[0012] The first device is configured to: send a signal or receive a signal sent by the second device through the polarized array antenna, and perform interference identification and filtering on the received signal, wherein the polarized array antenna is a three-dimensional array antenna composed of a plurality of uniformly arranged first arrays, and the first array includes a plurality of uniformly arranged array elements;

[0013] The second device is configured to send or receive a signal, and adjust the sent signal according to the parameter adjustment information sent by the first device.

[0014] The present application also provides an anti-interference signal device, which is a physical node device. The anti-interference signal device includes: a memory, a processor, and a program of the anti-interference signal method stored on the memory and runnable on the processor. When the program of the anti-interference signal method is executed by the processor, the steps of the anti-interference signal method described above can be implemented.

[0015] To achieve the above objectives, the present application also provides a storage medium, on which an anti-interference signal program is stored. When the anti-interference signal program is executed by a processor, the steps of any of the above-mentioned anti-interference signal methods are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] FIG1 is a flow chart of a first embodiment of the anti-interference signal method of the present application;

[0017] FIG2 is a schematic diagram of a detailed flow chart of step S10 in the first embodiment of the anti-interference signal method of the present application;

[0018] FIG3 is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application;

[0019] FIG4 is a schematic diagram of a first application scenario involved in the anti-interference signal method of the present application;

[0020] FIG5 is a schematic diagram of a second application scenario involved in the anti-interference signal method of the present application;

[0021] FIG6 is a schematic diagram of a third application scenario involved in the anti-interference signal method of the present application;

[0022] FIG7 is a schematic diagram of an array element model involved in the anti-interference signal method of the present application;

[0023] FIG8 is a schematic diagram of a planar array model involved in the anti-interference signal method of the present application;

[0024] FIG9 is a schematic diagram of a cylindrical array model involved in the anti-interference signal method of the present application;

[0025] FIG10 is a schematic diagram of the device structure of the operating environment involved in the anti-interference signal method of the present application. DETAILED DESCRIPTION

[0026] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0027] This embodiment of the present application provides an anti-interference signal method, which is applied to a first device. The first device includes a polarized array antenna. In the first embodiment of the anti-interference signal method of the present application, referring to FIG1 , the method includes:

[0028] Step S10: acquiring a first signal of the second device based on the transmitted signal, and identifying interference information in the first signal to obtain an interference identification result;

[0029] As an example, the anti-interference signal method may be applied to an anti-interference signal apparatus, the anti-interference signal apparatus belongs to an anti-interference signal system, and the anti-interference signal system belongs to an anti-interference signal device.

[0030] As an example, the first device may be a base station, a communication sensing device, a terminal, or other device that can send and receive signals. The first device will be described in detail below taking the base station as an example.

[0031] As an example, the second device may be a communication sensing device, a terminal (mobile phone, computer), or other device that can send and receive signals. The second device will be described in detail below using the terminal as an example.

[0032] As an example, a polarized array antenna can be a signal receiving / transmitting antenna used for the first device or the second device. The antenna array styles of the polarized array antenna include but are not limited to planar arrays and three-dimensional cylindrical arrays. During use, the polarized array antenna sends, receives, and filters interference by receiving control instructions from the base station or terminal.

[0033] As an example, a polarized array antenna can utilize the difference in polarization information between the interference signal and the desired signal to distinguish the received interference signal from the desired signal, thereby effectively suppressing interference and improving signal reception quality.

[0034] As an example, the first signal includes the expected signal fed back by the terminal after receiving the signal sent by the base station and the interference signal in the external environment. Due to the presence of other signals in the external environment, the signal received by the base station will include other interference signals that are not related to the signal sent by the terminal, that is, the first signal includes the expected signal and the interference signal.

[0035] As an example, the interference information in the first signal includes but is not limited to interference signals, broadcast signals, radar signals, etc. By identifying the interference information in the first signal, signal parameter information of the interference signal is obtained, which facilitates subsequent adjustments.

[0036] As an example, the interference identification result includes whether there is interference, polarization information of the interference signal, etc. When the interference identification result is determined, the corresponding parameter adjustment information can be obtained, so that the second device adjusts the expected signal sent according to the parameter adjustment information, so that the expected signal and the interference signal can be distinguished, avoiding the polarization information of the expected signal and the interference signal being the same.

[0037] Before step S20 of sending parameter adjustment information corresponding to the interference identification result to the second device, the method further includes:

[0038] Step S11, determining the arrival direction information and first polarization information of the first signal;

[0039] As an example, the arrival direction information may be azimuth information of the received signal.

[0040] As an example, the first polarization information may be a phase difference and an amplitude ratio of the first signal, and the polarization information and the arrival direction information may be converted into each other.

[0041] As an example, when a polarized array antenna receives a signal, the signal reception is completed by a polarization sensitive array composed of N uniformly distributed orthogonal dipoles (array elements) arranged in a preset manner. The schematic diagram of the array element model involved in the anti-interference signal method is shown in FIG7. and θ are the direction information / azimuth information of the received signal. In spherical coordinates, and E θ They are The polarization components in the directions of θ and θ can be expressed as:

[0042] Where, tanγ=A y / A x , represents the ratio of the electric field amplitude in the y direction to the electric field amplitude in the x direction, η=φ y -φ x , which represents the phase difference between the electric field in the y direction and the x direction.

[0043] As an example, based on the relationship between coordinate vectors in different coordinate bases, it can be concluded that the coordinate vector of the electric field vector in the rectangular coordinate system is:

[0044] Among them E x 、E y 、E z are the electric field components in the x, y, and z directions, respectively.

[0045] Step S12: Based on the arrival direction information and the first polarization information, filtering out interference signals in the first signal that do not match the preset arrival direction information and the preset polarization information of the polarization array antenna.

[0046] As an example, the preset arrival direction information is the preset azimuth information of the signal received by the polarization array antenna. The azimuth can be 100° or 120° and can be changed according to user needs without specific limitation.

[0047] As an example, the preset polarization information may be a preset amplitude ratio and phase difference of the received signal. The phase difference may be 100°, 120°, etc., and may be changed according to user needs without specific limitation.

[0048] As an example, the arrival direction information and the first polarization information of the received first signal are matched with the preset arrival direction information and the preset polarization information respectively. According to the matching result, the interference signal in the first signal that does not match the preset arrival direction information and the preset polarization information of the polarization array antenna is filtered out.

[0049] As an example, the polarized array antenna is also set to a preset frequency band range, which can be 30kHz to 300kHz, or other frequency band ranges, without specific limitation. When the frequency band corresponding to the received signal is not within the frequency band range, it will be automatically filtered out.

[0050] As an example, a schematic diagram of a first application scenario involved in this method is shown in FIG4 . In this application scenario, the array model used is a planar array model and the steps are as follows:

[0051] 1. The base station transmits identification signals to the sensed area through the antenna system;

[0052] 2. The detected target (which can be a terminal) will reflect the identification signal transmitted by the base station;

[0053] 3. The base station receives the echo and uses a planar array model to filter out interference signals.

[0054] Step S20: sending parameter adjustment information corresponding to the interference identification result to the second device, and obtaining a second signal corresponding to the parameter adjustment information;

[0055] As an example, the basis for determining whether there is an interference signal in the first signal is: when the polarization information of the expected signal in the first signal is the same as that of the interference source, the interference source at this time is determined to be an interference signal. At this time, it is necessary to adjust the transmission parameters of the expected signal sent by the second device according to the polarization information of the interference signal, so that the expected signal and the interference signal can be distinguished. The polarization array antenna can filter out the interference signal and only receive the expected signal. When the polarization information of the expected signal in the first signal is different from that of the interference source, the interference source at this time will be automatically filtered out by the antenna, and no parameter adjustment is required.

[0056] As an example, after the terminal adjusts the transmission parameters of the terminal according to the parameter adjustment information, it obtains the second signal to be sent and sends the second signal to the base station.

[0057] Step S30: Perform interference filtering on the second signal based on the second polarization information in the second signal.

[0058] As an example, the second polarization information is the polarization information of the second signal, wherein the polarization information includes the amplitude ratio and phase difference of the signal, the second polarization information includes the polarization information of the desired signal and the polarization information of the interference signal, and after the second signal is parameter adjusted, there is a difference in the polarization information of the desired signal and the interference signal, so that the polarization array antenna can filter out interference from the received second signal.

[0059] This embodiment aims to: obtain an interference identification result by performing interference identification on the first signal fed back by the second device, and thereby adjust the signal sent by the second device according to parameter adjustment information corresponding to the interference identification result, so that the signal transmitted by the second device is distinguished from the interference signal, and then, the second signal is filtered out of interference based on the polarization information in the second signal.

[0060] Among them, the polarized array antenna includes a planar array model and a cylindrical array model, and the polarized array antenna is applied to the first device or the second device, and the array model applied on the first device or the second device is associated with the physical form of the set array antenna.

[0061] As an example, a schematic diagram of a planar array model is shown in FIG8 . The planar array model uses three-dimensional orthogonal dipoles as array elements (the array element structure is shown in FIG7 ) and adopts the array arrangement shown in FIG8 . This arrangement has the following characteristics:

[0062] 1. N1 array elements are evenly arranged on a plane;

[0063] 2. Horizontally, N 1r Array elements form a linear array, and the horizontal distance between two array elements is R1;

[0064] 3. Multiple linear arrays are longitudinally combined to form a uniform plane array, with the distance between two linear arrays being d1;

[0065] The planar array is a regular rectangular plane. The planar array model is consistent with the physical form of the base station antenna and is more suitable for application in mainstream base station communication systems.

[0066] As an example, a schematic diagram of a cylindrical array model is shown in FIG9 . The cylindrical array model uses three-dimensional orthogonal dipoles as array elements and adopts the array arrangement shown in FIG9 . This arrangement has the following characteristics:

[0067] 1. N2 array elements are evenly arranged on the cylindrical surface;

[0068] 2. By N 2r The array elements form a circular array, and the radius of the circular array is R2;

[0069] 3. A cylindrical array is formed by multiple circular arrays, and the distance between two circular arrays is d2;

[0070] The cylindrical array is an array formed by a cylindrical arrangement. The cylindrical array model is consistent with the physical form of the terminal antenna and is more suitable for application in the terminal.

[0071] The present application provides an anti-interference signal method, system, device and storage medium. Compared with the related art, in which the communication sensing device cannot effectively identify the corresponding interference signal from the received signal, and thus cannot reduce the impact of interference on the communication sensing device, in the present application, the first signal of the second device is obtained based on the transmitted signal, and the interference information in the first signal is identified to obtain an interference identification result; the parameter adjustment information corresponding to the interference identification result is sent to the second device, and the second signal corresponding to the parameter adjustment information is obtained; based on the second polarization information in the second signal, the second signal is subjected to interference filtering. In the present application, a signal is sent from the first device to the second device to obtain the first signal fed back by the second device, and the corresponding parameter adjustment information is determined based on the interference identification result obtained after identifying the interference information of the first signal. Then, the second device can adjust the transmitted signal according to the parameter adjustment information, so that there is a difference between the signal transmitted by the second device and the interference signal, so that the desired signal and the interference signal are distinguished, and the second signal is subjected to interference filtering based on the second polarization information of the second signal, thereby reducing the impact of the interference signal on the communication sensing device.

[0072] Based on the first embodiment of the present application, another embodiment of the present application is provided. In this embodiment, the step S10 of identifying interference information in the first signal and obtaining an interference identification result includes:

[0073] Step S110, determining a signal-to-noise ratio value of the first signal;

[0074] As an example, the signal-to-noise ratio value is the ratio of the desired signal to the interference signal in the first signal, that is, the ratio of the strength of the received useful signal to the strength of the interference signal. The signal-to-noise ratio value can reflect the signal quality of the currently received signal. When the signal-to-noise ratio is lower than a certain level, it indicates that there is an interference signal in the first signal.

[0075] Step S120: Compare the preset threshold with the signal-to-noise ratio value of the first signal to obtain the interference identification result.

[0076] As an example, the preset threshold may be -1, -5, -10, etc., and may be changed according to user needs, without specific limitation.

[0077] As an example, the interference identification result may be that the signal-to-noise ratio is less than a preset threshold. When the signal-to-noise ratio is less than the preset threshold, it is considered that interference exists in the first signal. At this time, the interference identification result indicates that interference exists in the first signal.

[0078] The step S110 of determining the signal-to-noise ratio value of the first signal includes:

[0079] Step S1110: determining a desired signal vector value and an interference signal vector value based on first polarization information of the first signal, wherein the first polarization information or the second polarization information includes an amplitude ratio and a phase difference of the signal;

[0080] As an example, the desired signal vector value and the interference signal vector value are determined according to the first polarization information of the first signal. Before calculating the desired signal vector value and the interference signal vector value, the position coordinate vector of each array element needs to be calculated.

[0081] As an example, in a planar array model, the numerical expression of the position coordinate vector of the n1th array element is:

[0082] Among them, C 1c =[n1 / N 1r ], C 1c is n1 / N 1r The resulting integer, N 1r Indicates the number of elements arranged in the horizontal array, the subscript 1r indicates the sequence number of the elements arranged in the horizontal array, M 1c =n1mod N 1r is n1 to N 1r The remainder after integer division.

[0083] As an example, in a cylindrical array model, the numerical expression of the position coordinate vector of the n2th array element is:

[0084] Among them, C 2c =[n2 / N 2r ], C 2c is n2 / N 2r The resulting integer, N 2r Indicates the number of array elements arranged on the ring array, the subscript 2r indicates the sequence number of the array elements arranged on the ring array, M 2c =n2mod N 2r is n2 to N 2r The remainder after integer division.

[0085] As an example, for different antenna array models, the signal-to-noise ratio (SINR) is calculated as follows:

[0086] Taking the origin of the three-dimensional coordinate axis where the array model is located as a reference, the spatial phase lag of the nth array element receiving signal relative to the origin is Φ n : Φ n =k T L n

[0087] in (In the planar array model, θ=θ1, In the cylindrical array model, θ=θ2, ); L in the formula n In the planar array model In the column array model

[0088] Therefore, the phase lags of N array elements are taken as a unit to form a column vector f:

[0089] As an example, the signal received by each array element includes an interference signal and a desired signal. The column vector of the desired signal is represented by square f d , the column vector of the interference signal is represented by f i .

[0090] As an example, after a vector composed of delayed phase differences of multiple array elements is determined, the received signal is processed to obtain a desired signal vector value and an interference signal vector value.

[0091] Step S1120: Calculate a signal-to-noise ratio (SNR) of the first signal based on the expected signal vector value, the interference signal vector value, and the noise signal vector value.

[0092] As an example, the signal-to-noise ratio value=the expected signal vector value / (the interference signal vector value+the noise signal vector value).

[0093] The step S1110 of determining the desired signal vector value and the interference signal vector value according to the first polarization information of the first signal includes:

[0094] Step S1111, multiplying the lag phase difference of the desired signal and the desired signal function to calculate the desired signal vector value;

[0095] As an example, the expected signal vector value is calculated as follows: d =s(t)U dd

[0096] in, U dd Represents the value obtained after Fourier transform of the expected signal, f d is a column vector composed of the delayed phase difference of the desired signal, and s(t) represents the desired signal function.

[0097] Step S1112: multiply the delayed phase difference of the interference signal and the interference signal function to obtain a plurality of interference vector products, and add the plurality of interference vector products to calculate an interference signal vector value.

[0098] As an example, the calculation formula of the interference signal vector value is:

[0099] in, U iik Represents the value obtained after Fourier transform of the interference signal, f i is a column vector composed of the delayed phase difference of the desired signal, i k (t) represents the interference signal function, X i It is the value obtained by adding multiple interference vector products.

[0100] The step S1120 of calculating the signal-to-noise ratio data based on the expected signal vector value, the interference signal vector value, and the noise signal vector value includes:

[0101] Step S1121, adding the interference signal vector value to the noise signal vector value to obtain a total interference vector value;

[0102] As an example, the noise signal vector value is expressed as: X n =[n1(t) n2(t) ... n N (t)] T , where [n1(t) n2(t) ... n N (t)] represents N noise signal vectors, which can be obtained by identifying the received signal through the polarized array antenna or antenna.

[0103] As an example, the total interference vector value is the sum of the interference signal vector value and the noise signal vector value. The total interference vector value is expressed as: X i +X n .

[0104] Step S1122: Calculate the ratio between the expected signal vector value and the total interference vector value to obtain a signal-to-noise ratio value of the first signal.

[0105] As an example, the total vector induced on the array antenna is expressed as: X = X d +X i +X n

[0106] Among them, X d is the expected signal vector value, X i is the interference signal vector value, X n is the noise signal vector value.

[0107] As an example, the recursive formula for SINR (signal-to-noise ratio) obtained by simplifying the calculation is:

[0108] in,

[0109] Among them, P d is the expected signal vector value, P i is the interference signal vector value, P n is the noise signal vector value, U dd is the expected signal, U iik is the interference signal, ξ d is the array signal-to-noise ratio, assumed to be constant, ξ ik is the kth array interference-to-noise ratio, assumed to be a constant.

[0110] In this embodiment, a signal-to-noise ratio value is calculated based on the polarization information of the received first signal, and the signal-to-noise ratio value of the signal is compared with a preset threshold, thereby effectively identifying the anti-interference signal in the received signal.

[0111] Based on the first and second embodiments of the present application, another embodiment of the present application is provided. In this embodiment, the step S20 of sending parameter adjustment information corresponding to the interference identification result to the second device and obtaining a second signal corresponding to the parameter adjustment information includes:

[0112] Step S210, determining parameter adjustment information based on the transmission parameters of the interference signal identified in the interference identification result;

[0113] As an example, the transmission parameters may be polarization information γ and η, incoming wave direction information θ and When an interference signal is identified in the received signal, the polarization information γ and η and the direction of arrival information θ and θ in the interference signal and the desired signal are obtained. Similarly, the purpose of sending the parameter adjustment information is to enable the second device / terminal to adjust the transmission parameters of the sent signal so that there is a difference in polarization information between the interference signal and the desired signal, thereby effectively filtering out the interference signal.

[0114] As an example, the parameter adjustment information may be adjusting γ and η to γ1 and η1, or other adjustment methods.

[0115] Step S220: Send the parameter adjustment information to the second device, so that the second device adjusts the transmission parameters of the transmitted signal according to the parameter adjustment information;

[0116] As an example, after the second device receives the parameter adjustment information, it adjusts the transmission parameters of the signal sent by itself, so as to distinguish between the desired signal and the interference signal sent by the second device. The specific process of adjusting the transmission parameters is an existing technology well known to people in this field and will not be repeated here.

[0117] Step S230: Receive a second signal fed back by the second device after adjusting the transmission parameters.

[0118] As an example, after the second device adjusts the transmission parameters, it resends the second signal to the base station.

[0119] Figure 6 shows a schematic diagram of the third application scenario involved in this embodiment. When interference signals with the same frequency, polarization, and arrival direction are present, the base station uses this method to interact with the terminal for perception. The specific implementation flow chart is shown in Figure 6. In this embodiment, an appropriate array model is selected based on the physical form of the base station antenna, including but not limited to a planar array model and a cylindrical array model. Selecting a different array model does not affect the implementation of subsequent steps.

[0120] 1. The base station communicates with the terminal;

[0121] 2. The base station identifies interference as occurring if the SINR result of the received terminal signal is less than a preset threshold.

[0122] 3. The base station notifies the terminal to adjust the spatial and polarization domain parameters to avoid the same-direction and same-polarization interference sources and improve the anti-interference capability of the synaesthesia. The spatial domain parameters are the parameters of the incoming wave direction.

[0123] In this embodiment, by creating a difference between the desired signal and the interference signal in the spatial domain or the polarization domain, the interference signal is effectively filtered out, thereby achieving the purpose of enhancing the signal perception effect.

[0124] Based on the first, second and third embodiments of the present application, another embodiment of the present application is provided. In this embodiment, there may be multiple second devices. When there are multiple second devices, signals are received and filtered for the multiple second devices in sequence according to the arrangement order of the second devices.

[0125] As an example, the second device is described as a terminal. When there are multiple terminals, the application scenario diagram is shown in Figure 5. As can be seen from Figure 5, the current terminal is provided with a polarized array antenna. Since the cylindrical array model is consistent with the physical form of the terminal antenna, this embodiment adopts the cylindrical array model for specific implementation.

[0126] 1. The current terminal sends a signal to terminals 1 to n;

[0127] 2. Terminals 1 to n reply to the terminal;

[0128] 3. The current terminal receives multiple signals and regards the signal from terminal 1 as the desired signal and the other signals as interference signals. It uses a cylindrical array model to filter out the interference signals and transmits the filtered signal from terminal 1 to the base station.

[0129] 4. According to the polling method, the remaining n-1 terminals are sequentially received and filtered according to the method of step 4.

[0130] In this embodiment, the base station and the current terminal are just a special perception networking method, and the base station plus the current terminal can also be replaced by the base station.

[0131] In this embodiment, when there are multiple terminals, a network is formed by the current terminal and the base station, so that interference filtering can be performed on signals sent by multiple terminals.

[0132] The embodiment of the present application further provides an anti-interference signal system. In a fifth embodiment of the anti-interference signal system of the present application, the anti-interference signal system includes a first device and a second device, wherein the first device further includes a polarized array antenna;

[0133] The first device is configured to: transmit a signal or receive a signal transmitted by the second device through the polarized array antenna, and perform interference identification and filtering on the received signal, wherein the polarized array antenna is a three-dimensional array antenna composed of a plurality of uniformly arranged first arrays, and the first array includes a plurality of uniformly arranged array elements;

[0134] The second device is used to send or receive a signal, and adjust the sent signal according to the parameter adjustment information sent by the first device.

[0135] As an example, in this system, the first device can be a base station, the second device can be a terminal, and the polarization array antenna can be set on the base station or the terminal. When the polarization array antenna is set on the base station, a planar array model is adopted, and when the polarization array antenna is set on the terminal, a cylindrical array model is adopted.

[0136] As an example, the related technology provides polarization filtering for uniform linear arrays and circular arrays, but this technology only arranges the antenna elements uniformly into a straight line or circular shape to receive or transmit signals. Because the result is limited by the characteristics of the azimuth plane, the received signal is severely attenuated. This technology has insufficient filtering capabilities in the polarization domain and spatial domain, and its anti-interference ability is lower than that of a three-dimensional cylindrical array. When the state characteristics of the interference signal and the useful signal in the time domain, frequency domain and spatial domain are very close, this technology is difficult to effectively filter out interference.

[0137] As an example, a polarization array antenna is a polarization sensitive array composed of N evenly distributed orthogonal dipoles (array elements). The array is composed of multiple circular arrays (or linear arrays) with equal spacing, and each layer of circular arrays (or linear arrays) is composed of N evenly distributed orthogonal dipoles (array elements). r The polarized array antenna is composed of array elements, the radius of the ring (or the distance between two elements of the linear array) is R, and the distance between two adjacent circular arrays (or linear arrays) is d. The polarized array antenna is a three-dimensional array antenna composed of multiple first arrays arranged evenly. By using a three-dimensional linear array or a three-dimensional cylindrical array, the anti-interference ability of the antenna is improved, and the expected signal wave information is θ and The signal and polarization information are γ and η, and the receiving phase delay of different oscillators is used to derive the SINR through an algorithm to characterize the filtering capability of the system.

[0138] In this embodiment, a three-dimensional array is used in a polarization array antenna, so that the polarization array antenna can receive or transmit signals in all directions, thereby avoiding the problem that the received signal is limited to the azimuth plane and the signal attenuation is severe.

[0139] Refer to Figure 3, which is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application.

[0140] As shown in FIG3 , the anti-interference signal device may include: a processor 1001 , a memory 1005 , and a communication bus 1002 . The communication bus 1002 is used to implement connection and communication between the processor 1001 and the memory 1005 .

[0141] In one embodiment, the anti-interference signal device may further include a user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, a Wi-Fi module, and the like. The user interface may include a display screen and an input submodule such as a keyboard. The user interface may also include a standard wired interface and a wireless interface. The network interface may include a standard wired interface and a wireless interface (such as a Wi-Fi interface).

[0142] Those skilled in the art will understand that the anti-interference signal device structure shown in FIG3 does not constitute a limitation of the anti-interference signal device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0143] As shown in Figure 3, memory 1005, which serves as a storage medium, may include an operating system, a network communication module, and an anti-interference signal program. The operating system is a program that manages and controls the hardware and software resources of the anti-interference signal device and supports the operation of the anti-interference signal program and other software and / or programs. The network communication module is used to enable communication between the various components within memory 1005, as well as communication with other hardware and software in the anti-interference signal system.

[0144] In the anti-interference signal device shown in FIG3 , the processor 1001 is configured to execute the anti-interference signal program stored in the memory 1005 to implement the steps of any one of the above-mentioned anti-interference signal methods.

[0145] The specific implementation of the anti-interference signal device of the present application is basically the same as the above-mentioned embodiments of the anti-interference signal method, and will not be repeated here.

[0146] The present application also provides an anti-interference signal device, referring to FIG10 , the device comprising:

[0147] an identification module, configured to obtain a first signal of the second device based on the transmitted signal, and identify interference information in the first signal to obtain an interference identification result;

[0148] a sending module, configured to send parameter adjustment information corresponding to the interference identification result to a second device, and obtain a second signal corresponding to the parameter adjustment information;

[0149] The first filtering module is configured to perform interference filtering on the second signal based on the second polarization information in the second signal.

[0150] In a possible implementation of the present application, the identification module includes:

[0151] a first determining unit, configured to determine a signal-to-noise ratio value of the first signal;

[0152] A comparing unit is used to compare a preset threshold with the signal-to-noise ratio value of the first signal to obtain the interference identification result.

[0153] In a possible implementation manner of the present application, the sending module includes:

[0154] A second determining unit, configured to determine parameter adjustment information based on the transmission parameters of the interference signal identified in the interference identification result;

[0155] a sending unit, configured to send the parameter adjustment information to the second device, so that the second device adjusts the transmission parameters of the transmitted signal according to the parameter adjustment information;

[0156] The receiving unit is configured to receive a second signal fed back by the second device after adjusting the transmission parameters.

[0157] In a possible implementation manner of the present application, the first determining unit includes:

[0158] a determination subunit, configured to determine a desired signal vector value and an interference signal vector value based on first polarization information of the first signal, wherein the first polarization information or the second polarization information includes an amplitude ratio and a phase difference of the signal;

[0159] The calculation subunit is configured to calculate a signal-to-noise ratio value of the first signal based on the expected signal vector value, the interference signal vector value, and the noise signal vector value.

[0160] In a possible implementation manner of the present application, the determining subunit includes:

[0161] A first calculation component is used to multiply the lag phase difference of the expected signal and the expected signal function to calculate the expected signal vector value;

[0162] The second calculation component is configured to multiply the delayed phase difference of the interference signal and the interference signal function to obtain a plurality of interference vector products, and add the plurality of interference vector products to calculate an interference signal vector value.

[0163] In a possible implementation of the present application, the computing subunit includes:

[0164] a third calculation component, configured to add the interference signal vector value and the noise signal vector value to obtain a total interference vector value;

[0165] The fourth calculation component is used to calculate the ratio between the expected signal vector value and the total interference vector value to obtain a signal-to-noise ratio value of the first signal.

[0166] In a possible implementation manner of the present application, the device further includes:

[0167] a determination module, configured to determine the arrival direction information and first polarization information of the first signal;

[0168] The second filtering module is configured to filter out interference signals in the first signal that do not match the preset arrival direction information and preset polarization information of the polarization array antenna based on the arrival direction information and the first polarization information.

[0169] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0170] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0171] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0172] The above are merely optional embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for resisting interference signals, applied to a first device, wherein: The first device includes a polarized array antenna, and the method includes: Acquire a first signal of the second device based on the transmitted signal, and identify interference information in the first signal to obtain an interference identification result; Sending parameter adjustment information corresponding to the interference identification result to the second device, and acquiring a second signal corresponding to the parameter adjustment information; Based on the second polarization information in the second signal, interference filtering is performed on the second signal.

2. The anti-interference signal method according to claim 1, wherein: The step of identifying interference information in the first signal to obtain an interference identification result includes: determining a signal-to-noise ratio value of the first signal; The preset threshold is compared with the signal-to-noise ratio value of the first signal to obtain the interference identification result.

3. The anti-interference signal method according to claim 2, wherein: The step of sending the parameter adjustment information corresponding to the interference identification result to the second device and acquiring the second signal corresponding to the parameter adjustment information includes: Determining parameter adjustment information based on the transmission parameters of the interference signal identified in the interference identification result; Sending the parameter adjustment information to the second device, so that the second device adjusts the transmission parameters of the transmitted signal according to the parameter adjustment information; Receive a second signal fed back by the second device after adjusting the transmission parameters.

4. The anti-interference signal method according to claim 2, wherein: The step of determining the signal-to-noise ratio value of the first signal comprises: Determine a desired signal vector value and an interference signal vector value according to first polarization information of the first signal, wherein the first polarization information or the second polarization information includes an amplitude ratio and a phase difference of the signal; Based on the desired signal vector value, the interference signal vector value and the noise signal vector value, A signal-to-noise ratio value of the first signal is obtained by calculation.

5. The anti-interference signal method according to claim 4, wherein: The step of determining the desired signal vector value and the interference signal vector value according to the first polarization information of the first signal includes: Multiplying the lag phase difference of the desired signal and the desired signal function to calculate the desired signal vector value; The lagging phase difference of the interference signal and the interference signal function are multiplied to obtain a plurality of interference vector products, and the plurality of interference vector products are added to calculate and obtain an interference signal vector value.

6. The anti-interference signal method according to claim 4, wherein: The step of calculating the signal-to-noise ratio data based on the expected signal vector value, the interference signal vector value and the noise signal vector value comprises: Adding the interference signal vector value to the noise signal vector value to obtain a total interference vector value; A ratio between the expected signal vector value and the total interference vector value is calculated to obtain a signal-to-noise ratio value of the first signal.

7. The anti-interference signal method according to claim 1, wherein: Before the step of sending the parameter adjustment information corresponding to the interference identification result to the second device, the method further includes: Determining the arrival direction information and the first polarization information of the first signal; Based on the arrival direction information and the first polarization information, interference signals in the first signal that do not match the preset arrival direction information and the preset polarization information of the polarization array antenna are filtered out.

8. The anti-interference signal method according to claim 1, wherein: There may be multiple second devices. When there are multiple second devices, signals of the multiple second devices are received and filtered in sequence according to the arrangement order of the second devices.

9. The anti-interference signal method according to claim 1, wherein: The polarized array antenna includes a planar array model and a cylindrical array model. The polarized array antenna is applied to the first device or the second device, and the array model applied to the first device or the second device is associated with the physical form of the set array antenna.

10. An anti-interference signal system, wherein: The anti-interference signal system includes a first device and a second device, wherein the first device also includes a polarization array antenna; The first device is configured to: send a signal or receive a signal sent by the second device through the polarized array antenna, and perform interference identification and filtering processing on the received signal, wherein the polarized array antenna is a three-dimensional array antenna composed of a plurality of first arrays arranged uniformly, and the first array includes a plurality of uniformly arranged array elements; The second device is configured to: send or receive a signal, and adjust the sent signal according to the parameter adjustment information sent by the first device.

11. An anti-interference signal device, wherein: The device comprises: a memory, a processor, and an anti-interference signal program stored in the memory and executable on the processor, wherein the anti-interference signal program is configured to implement the steps of the anti-interference signal method according to any one of claims 1 to 9.

12. A computer storage medium, wherein: The computer storage medium stores an anti-interference signal program, and when the anti-interference signal program is executed by the processor, the steps of the anti-interference signal method according to any one of claims 1 to 9 are implemented.

Citation Information

Patent Citations

  • Beam forming method for improving emission gain of distributed polarization sensitive array

    CN111585631A

  • Space-time polarization anti-interference method based on alternate polarization sensitive array

    CN111880198A

  • Coherent interference resisting method for adaptive polarization adjustment of polarization sensitive array

    CN114236464A

  • Method and system for mitigating interference by rotating antenna structures

    US20220069855A1

  • Performance-Based Adaptation of Communication Polarization

    US20240031002A1