CN114785426B - Multi-antenna anti-interference method, device, equipment and computer readable storage medium - Google Patents
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Abstract
Embodiments of the present disclosure provide multi-antenna interference rejection methods, apparatus, devices, and computer readable storage media. The method includes acquiring received data of an array; calculating an array weight vector according to the received data of the array; weighting the transmission data of the array based on the array weight vector, and calculating a correlation value based on a weighting result and a local known sequence; according to the correlation value, frame synchronization is carried out to take out a frame data segment; calculating an optimal weight based on the frame data segment; and weighting the transmission data of the array through the optimal weight, and outputting the interference-free load data. In this way, the tamper resistance of the array is improved.
Description
Technical Field
Embodiments of the present disclosure relate generally to the field of array signal processing and, more particularly, relate to a multi-antenna interference rejection method, apparatus, device, and computer readable storage medium.
Background
The multi-antenna technology has been widely used and successfully used in civil fields, such as MIMO and Massive MIMO, so as to greatly improve the reliability and the communication capacity of communication.
In the field of military communications, multi-antenna technology is mostly used for communication immunity, but for various reasons, such as: the incidence angle of the target signal is unknown, the array is difficult to calibrate, the communication is initiated randomly, and the like, and stays on the paper surface, so that the matured algorithm and the case of successful implementation are fewer, and the method is especially applied to the field of radar pulse system communication.
Disclosure of Invention
According to an embodiment of the present disclosure, a multi-antenna interference rejection scheme is provided.
In a first aspect of the present disclosure, a multi-antenna interference-free method is provided. The method comprises the following steps:
acquiring the received data of the array;
calculating an array weight vector according to the received data of the array; weighting the transmission data of the array based on the array weight vector, and calculating a correlation value based on a weighting result and a local known sequence;
according to the correlation value, frame synchronization is carried out to take out a frame data segment; calculating an optimal weight based on the frame data segment;
and weighting the transmission data of the array through the optimal weight, and outputting the interference-free load data.
Further, the calculating the array weight vector according to the waveform structure of the array includes:
based on the modified SMI algorithm, an array weight vector is calculated by the following formula:
w smi ＝R -1 C
wherein, R is a sample covariance matrix;
the c= [ 10 0 … 0] T 。
Further, the weighting the transmission data of the array based on the array weight vector, and calculating the correlation value based on the weighted result and the local known sequence includes:
weighting the transmission data of the array based on the array weight vector to obtain a receiving sequence;
and performing sliding correlation on the received sequence and a local known sequence, and calculating a correlation value.
Further, the step of performing frame synchronization to extract the frame data segment according to the correlation value includes:
based on the correlation value, judging whether a desired incident signal exists or not through a judging device, if so, judging the arrival time of the desired incident signal;
and according to the arrival time, the frame data segment is taken out.
Further, the calculating the optimal weight based on the frame data segment includes:
based on the LS algorithm, the optimal weight is calculated by the following formula:
w ls ＝R zc -1 X zc p
wherein the R is zc A covariance matrix of the sample;
the X is zc For a received signal matrix;
the p is a locally known sequence.
Further, the weighting the transmission data of the array by the optimal weight, and outputting the non-interference load data includes:
and weighting the transmission data of the array through the optimal weight value based on the following formula, and outputting the interference-free load data:
Y＝w ls H *X data
wherein the X is data Is M.times.L data A dimension matrix.
Further, the array is any type of array, the waveform is a burst pulse, and the waveform structure is a preamble loading.
In a second aspect of the present disclosure, a multi-antenna interference-free device is provided. The device comprises:
the acquisition module is used for acquiring the received data of the array;
the first calculation module is used for calculating an array weight vector according to the received data of the array; weighting the transmission data of the array based on the array weight vector, and calculating a correlation value based on a weighting result and a local known sequence;
the second calculation module is used for carrying out frame synchronization according to the correlation value and taking out a frame data segment; calculating an optimal weight based on the frame data segment;
and the output module is used for weighting the transmission data of the array through the optimal weight and outputting interference-free load data.
In a third aspect of the present disclosure, an electronic device is provided. The electronic device includes: a memory and a processor, the memory having stored thereon a computer program, the processor implementing the method as described above when executing the program.
In a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method as according to the first aspect of the present disclosure.
The multi-antenna anti-interference method provided by the embodiment of the application adopts the idea of synchronous guidance and optimal weight solving: and (3) completing synchronization of pulse waveforms by adopting an array processing algorithm independent of expected signal incidence angles, and completing optimal weight solving based on a synchronization sequence after completing synchronization, so that the array obtains optimal anti-interference performance.
It should be understood that what is described in this summary is not intended to limit the critical or essential features of the embodiments of the disclosure nor to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description.
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The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
FIG. 1 illustrates a schematic diagram of an exemplary operating environment in which embodiments of the present disclosure can be implemented;
fig. 2 shows a schematic diagram of a multi-antenna anti-jamming device core board card in accordance with an embodiment of the present disclosure;
fig. 3 shows a flow chart of a multi-antenna interference rejection method according to an embodiment of the present disclosure;
FIG. 4 shows a schematic diagram of a radar pulse waveform;
fig. 5 shows a block diagram of a multi-antenna interference-rejection apparatus in accordance with an embodiment of the present disclosure;
fig. 6 illustrates a block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some embodiments of the present disclosure, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments in this disclosure without inventive faculty, are intended to be within the scope of this disclosure.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
FIG. 1 illustrates a schematic diagram of an exemplary operating environment in which embodiments of the present disclosure can be implemented. In an operating environment, 01, an antenna array; 02. a radio frequency cable; 03. a communication device terminal; 04. multi-antenna anti-interference terminals (boards).
As shown in fig. 1, the antenna array is connected to a multi-antenna interference terminal installed on a receiving terminal. The multi-antenna anti-interference device is configured by a computer or a program preloaded on a receiving terminal, and an AD sampling rate, a carrier frequency, a UW word sequence and the like are issued.
Further, after receiving the configuration information, the multi-antenna anti-interference device configures the AD on the board card and configures the sampling rate of the AD; and configuring the phase stepping of the internal DDS according to the carrier frequency to finish digital down-conversion and low-pass filtering.
Further, the multi-antenna anti-interference device adjusts relevant parameters of the multi-antenna anti-interference algorithm according to the received UW information, completes array signal processing, transmits processed array output to a receiving terminal through a PCIE interface, and the receiving terminal further processes data.
The structure of the multi-antenna anti-interference terminal is shown in fig. 2, and the multi-antenna anti-interference terminal comprises SMA radio frequency connectors 1, wherein the number of the SMA radio frequency connectors 1 in the figure is 4, and the number of the SMA radio frequency connectors can be increased or decreased according to the number of array units in application; after signals are input into the board card through the SMA radio frequency connector 1, sampling is carried out by the high-speed AD 2, the sampling rate can be preset according to the requirement, and the configuration is carried out by the USB configuration port 4 or the PCIE interface 5; after AD sampling, the signals are processed by the FPGA 8; the signal processing logic in the FPGA corresponds to a designed multi-antenna anti-interference algorithm, and is programmed into the FPGA through a JTAG debugging port 3 in advance before being provided for a user; after the FPGA processing is completed, the data is sent out by the PCIE interface 5; all AD 2 and FPGA clocks on the board are provided by an on-board constant temperature crystal oscillator 6; the power supply of the whole core board is provided by the PCIE interface 5, and the power supply is provided for each module after the power supply module 7 is transformed.
Fig. 3 shows a flow chart of a method for processing a message, according to an embodiment of the present disclosure, comprising:
s310, receiving data of the array is acquired.
The array in the present disclosure may be any type of array, the waveform is a burst pulse, and the waveform structure is a preamble loading. That is, for an array of M1 (M is the number of array elements, M1 does not represent a linear array, and can be applied to any type of array), the waveform is a burst, the waveform structure is a preamble loading, and the preamble (local known sequence) length is L zc Load length L data 。
Embodiments of the present disclosure may be applicable to radar pulse waveforms as shown in fig. 4.
S320, calculating an array weight vector according to the received data of the array; and weighting the transmission data of the array based on the array weight vector, and calculating a correlation value based on a weighting result and a local known sequence.
In some embodiments, every 2 zc Length data, in the form of a first L zc Calculating a primary array weight vector w by adopting an SMI algorithm with length data as a reference smi I.e. minimizing the whole column of output power, while guaranteeing a first antenna element weight value of 1. Can be expressed as:
wherein, R is a sample covariance matrix;
the c= [ 10 0 … 0] T ；
Further, based on the above formula, we get:
w smi ＝R -1 C
s330, according to the related value, frame synchronization is carried out to take out a frame data segment; based on the frame data segments, an optimal weight is calculated.
In some embodiments, an array weight vector w is employed smi Weighting the data received by the array by w smi The weighted output is correlated with a locally known sequence (UW word).
Specifically, for the next 2 zc Data block of length, array weight vector w guided by last data block smi Weighting is carried out to obtain a receiving sequence r (n);
and (3) performing sliding correlation on the local known sequence (UW word) by using r (n), and calculating a correlation value.
In some embodiments, based on the correlation value, determining, by a determiner, whether a desired incoming signal is present, and if so, determining an arrival time (frame synchronization) of the desired incoming signal;
and according to the arrival time, the frame data segment is taken out. I.e. the frame synchronization is successful, i.e. after the decision signal arrives, the frame data segment is fetched.
In some embodiments, the optimal weight w is calculated by LS algorithm based on the frame data segment ls ：
w ls ＝R zc -1 X zc p
Wherein, R is as follows zc A covariance matrix of the sample; the R is zc ＝X zc X zc H ；
The X is zc For a received signal matrix;
the p is L zc *1 locally known sequence.
And S340, weighting the transmission data of the array through the optimal weight value, and outputting the interference-free load data.
In some embodiments, an array weight vector w is employed ls And weighting and outputting the array received data.
Specifically, the transmission data of the array is weighted by the optimal weight based on the following formula, and the interference-free load data is output:
Y＝w ls H *X data
wherein the X is data Is M.times.L data A dimension matrix.
I.e. the fetch data segment (payload) receive data matrix X data By an array weight vector w ls And weighting and outputting load data.
According to the embodiment of the disclosure, the following technical effects are achieved:
the multi-antenna anti-interference method provided by the disclosure comprises the following steps:
the desired signal incident angle information does not need to be acquired in advance. Conventional signal incidence angle based beamforming algorithms (LCMV, etc.) require knowledge of the desired signal incidence angle, and real-time changes in incidence angle are difficult to obtain in real time due to the high speed maneuvers of the carrier platform. Some documents mainly rely on mutual transmission of navigation information such as GPS or Beidou to calculate a target signal incident angle, and under the condition that interference exists, reliable transmission of information is difficult to guarantee, and the robustness of the scheme is poor. The DOA estimation algorithm such as MUSIC is used for carrying out the DOA estimation algorithm, high-precision channel calibration is needed, two-dimensional DOA estimation is needed, the calculated amount is large, and real-time performance is difficult to ensure;
no calibration of the channel is required. Channel calibration is always a difficulty in array signal processing, each set of radio frequency channels has certain difference, the workload of array calibration is large, and the large-scale application is difficult, especially the large-scale application of the array is difficult to implement;
it is applicable to randomly initiated pulse waveform communication. The conventional algorithm based on the MMSE criterion needs to send a training sequence in advance, and the initiation time of the sequence is known, so that the algorithm cannot be implemented when the algorithm is applied to the military communication initiated randomly because the initiation time of the sequence cannot be known. The multi-antenna anti-interference method provided by the disclosure overcomes the challenge, accurately judges whether the expected signal exists when the communication link is interfered, and effectively inhibits the interference.
The link overhead is small. The optimal weight solution can be directly carried out by utilizing the synchronous field (UW word) in the waveform, and no additional sequence is required to be sent.
Furthermore, the multi-antenna anti-interference device (refer to fig. 2) applied to the method can be directly connected with an antenna, can also be used as a preprocessing board card of a baseband digital board of a complete machine system, can flexibly configure the sampling rate of the board card and the frequency of digital down-conversion through a configuration port, is flexible to use, and ensures the confidentiality of the synchronization parameters by the self configuration of the client.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present disclosure is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present disclosure. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required by the present disclosure.
The foregoing is a description of embodiments of the method, and the following further describes embodiments of the present disclosure through examples of apparatus.
Fig. 5 shows a block diagram of a multi-antenna interference suppression device 500 according to an embodiment of the present disclosure.
As shown in fig. 5, the apparatus 500 includes:
an acquisition module 510, configured to acquire received data of the array;
a first calculation module 520, configured to calculate an array weight vector according to the received data of the array; weighting the transmission data of the array based on the array weight vector, and calculating a correlation value based on a weighting result and a local known sequence;
a second calculation module 530, configured to perform frame synchronization according to the correlation value to extract a frame data segment; calculating an optimal weight based on the frame data segment;
and an output module 540, configured to weight the transmission data of the array by the optimal weight, and output interference-free payload data.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described modules may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
Fig. 6 shows a schematic block diagram of an electronic device 600 that may be used to implement embodiments of the present disclosure. As shown, the device 600 includes a Central Processing Unit (CPU) 601 that can perform various suitable actions and processes in accordance with computer program instructions stored in a Read Only Memory (ROM) 602 or loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The CPU 701, ROM 602, and RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Various components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
Processing unit 601 performs the various methods and processes described above, such as method 300. For example, in some embodiments, the method 300 may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by CPU 601, one or more of the steps of method 300 described above may be performed. Alternatively, in other embodiments, CPU 601 may be configured to perform method 300 in any other suitable manner (e.g., by means of firmware).
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a load programmable logic device (CPLD), and the like.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application is not limited to the specific combinations of the features described above, but also covers other embodiments which may be formed by any combination of the features described above or their equivalents without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in the present application are replaced with each other.
Claims (5)
1. A multi-antenna anti-interference method, comprising:
acquiring the received data of the array;
according to the received data of the array, calculating an array weight vector according to an improved SMI algorithm; weighting the transmission data of the array based on the array weight vector to obtain a receiving sequence; sliding correlation is carried out on the received sequence and a local known sequence, a correlation value is calculated, and an array weight vector is calculated by adopting the following formula:
w smi ＝R -1 C
wherein R is a sample covariance matrix, and c= [ 10 0 … 0] T ；
Based on the correlation value, judging whether a desired incident signal exists or not through a judging device, if so, judging the arrival time of the desired incident signal; taking out the frame data segment according to the arrival time; based on the frame data segment, calculating an optimal weight according to an LS algorithm, and adopting the following formula:
w ls ＝R zc -1 X zc p
wherein the R is zc For the sample covariance matrix, the X zc For a received signal matrix, p is a locally known sequence;
and weighting the transmission data of the array through the optimal weight by adopting the following formula, and outputting interference-free load data: y=w ls H *X data
Wherein the X is data Is M.times.L data And the dimension matrix, M is the number of array elements.
2. The method of claim 1, wherein the array is an arbitrary form of array, the waveform is a burst, and the waveform structure is a preamble loading.
3. A multi-antenna anti-interference device, comprising:
the acquisition module is used for acquiring the received data of the array;
the first calculation module is used for calculating an array weight vector according to the improved SMI algorithm according to the received data of the array;
weighting the transmission data of the array based on the array weight vector to obtain a receiving sequence; sliding correlation is carried out on the received sequence and a local known sequence, a correlation value is calculated, and an array weight vector is calculated by adopting the following formula:
w smi ＝R -1 C
wherein R is a sample covariance matrix, and c= [ 10 0 … 0] T ；
The second calculation module is used for judging whether a desired incident signal exists or not through a judging device based on the correlation value, and if yes, judging the arrival time of the desired incident signal; taking out the frame data segment according to the arrival time; based on the frame data segment, calculating an optimal weight according to an LS algorithm, and adopting the following formula:
w ls ＝R zc -1 X zc p
wherein the R is zc For the sample covariance matrix, theX zc For a received signal matrix, p is a locally known sequence;
the output module is used for weighting the transmission data of the array through the optimal weight by adopting the following formula and outputting the interference-free load data:
Y＝w ls H *X data
wherein the X is data Is M.times.L data And the dimension matrix, M is the number of array elements.
4. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, characterized in that the processor, when executing the program, implements the method according to any of claims 1-2.
5. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1-2.
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