Interference scheme determination method and apparatus, electronic device, and storage medium

Abstract

Embodiments of the present application disclose a kind of interference scheme determination method, device, electronic equipment and storage medium.The method comprises: in the case where receiving target radar signal sent by radar system, the description word information of the radar pulse descriptor word of target radar signal is determined;Based on the feature extraction layer of the interference decision network pre-constructed and the description word information, the signal feature information corresponding to target radar signal is extracted;Based on the interference decision layer of the interference decision network and signal feature information, the target interference scheme for coping with target radar signal is determined, to emit target interference signal according to target interference scheme.The technical scheme of the embodiment of the present application can flexibly determine the target interference scheme corresponding to target radar information, to cope with variable radar signal;At the same time, by the target interference scheme corresponding to target radar signal, radar system is interfered, which helps to improve the accuracy of interference operation.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of radar jamming, and in particular to a jamming scheme determination method and device, electronic equipment and a storage medium. BACKGROUND

[0002] In modern radar electronic game technology, a jammer can transmit jamming signals according to a jamming scheme, so that the radar cannot accurately detect and track targets, and plays a very important role in the electronic game process.

[0003] In the prior art, a fixed jamming scheme is usually set in advance to generate jamming signals to interfere with the radar. However, in the process of implementing the present application, it is found that the prior art at least has the following technical problems: using a fixed jamming scheme makes it difficult to effectively identify and respond to changing radar signals, reducing the accuracy and flexibility of the jamming operation. SUMMARY

[0004] Embodiments of the present application provide a jamming scheme determination method and device, electronic equipment and a storage medium to achieve the purpose of flexibly determining a target jamming scheme corresponding to target radar information, and to interfere with the radar system through a target jamming scheme corresponding to a target radar signal, which helps to improve the accuracy of the jamming operation.

[0005] According to an aspect of the present application, a jamming scheme determination method is provided, comprising:

[0006] In the case of receiving a target radar signal sent by a radar system, determining the description word information of the radar pulse description word of the target radar signal;

[0007] Based on the description word information and the feature extraction layer of a pre-constructed jamming decision network, extracting signal feature information corresponding to the target radar signal;

[0008] Based on the jamming decision layer of the jamming decision network and the signal feature information, determining a target jamming scheme for responding to the target radar signal, so as to transmit a target jamming signal according to the target jamming scheme.

[0009] According to another aspect of the present application, a jamming scheme determination device is provided, comprising:

[0010] A description word information determination module is configured to, in the case of receiving a target radar signal sent by a radar system, determine the description word information of the radar pulse description word of the target radar signal;

[0011] A signal feature information extraction module is configured to, based on the description word information and the feature extraction layer of a pre-constructed jamming decision network, extract signal feature information corresponding to the target radar signal;

[0012] a target jamming scheme determination module configured to determine a target jamming scheme for coping with the target radar signal based on the interference decision layer of the interference decision network and the signal feature information, so as to transmit a target jamming signal according to the target jamming scheme.

[0013] According to another aspect of the present application, an electronic device is provided, which comprises:

[0014] at least one processor; and

[0015] a memory connected to the at least one processor in communication; wherein,

[0016] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the interference scheme determination method according to any one of the embodiments of the present application.

[0017] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to perform the interference scheme determination method according to any one of the embodiments of the present application when executed by the processor.

[0018] The technical scheme of the embodiments of the present application, in the case of receiving a target radar signal transmitted by a radar system, determines the descriptor information of the radar pulse descriptor of the target radar signal; based on the descriptor information and the feature extraction layer of the pre-constructed interference decision network, extracts the signal feature information corresponding to the target radar signal; through the interference decision layer of the interference decision network and the signal feature information, determines a target jamming scheme for coping with the target radar signal, so as to transmit a target jamming signal according to the target jamming scheme, so that the target jamming scheme corresponding to the target radar information is determined flexibly according to the signal feature information of the received target radar signal each time, to cope with the variable radar signal; at the same time, the radar system is interfered by the target jamming scheme corresponding to the target radar signal, which helps to improve the accuracy of the interference operation.

[0019] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to make the technical solution in the embodiments of the present application clearer, the drawings needed in the embodiments description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0021] Figure 1 is a flow chart of a method for determining an interference scheme according to an embodiment of the present application;

[0022] Figure 2 is a flow chart of another method for determining an interference scheme according to an embodiment of the present application;

[0023] Figure 3 is a structural schematic diagram of a device for determining an interference scheme according to an embodiment of the present application;

[0024] Figure 4 is a structural schematic diagram of an electronic device for implementing the method for determining an interference scheme according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the technical solution in the embodiments of the present application clearer, the drawings needed in the embodiments description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0026] It should be noted that the terms "first", "second", and the like in the description of the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "comprise" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] It should be noted that in the technical solutions of the present disclosure, the collection, collection, updating, analysis, processing, use, transmission, storage and the like of user personal information are in line with the provisions of relevant laws and regulations, are used for legal purposes, and do not violate public order and good customs. Necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain user personal information security and network security.

[0028] Figure 1 A flowchart of a method for determining an interference scheme is provided according to an embodiment of the present application. The present embodiment can be applicable to a case where a jammer generates a target interference scheme based on a received target radar signal. The method can be performed by an interference scheme determination apparatus, which can be implemented in the form of hardware and / or software.

[0029] As shown in Figure 1 , the method of the present embodiment can specifically include:

[0030] S110, in the case where a target radar signal transmitted by a radar system is received, determining the description word information of the radar pulse description word of the target radar signal.

[0031] It should be noted that the target radar signal includes a radar transmission signal transmitted by the radar system and a background noise signal. In order to reduce noise interference, after receiving the target radar signal, a signal preprocessing operation can be performed on the target radar signal.

[0032] Specifically, determining the description word information of the radar pulse description word of the target radar signal includes performing a signal preprocessing operation on the target radar signal, and updating the target radar signal based on the signal obtained after the preprocessing operation; wherein the signal preprocessing operation includes at least one of bandpass filtering processing, normalization processing and adaptive filtering processing.

[0033] In a specific implementation, the target radar signal can be subjected to bandpass filtering processing through a pre-constructed bandpass filter, and the target radar signal is updated based on the signal obtained after bandpass filtering. Further, in order to ensure that the signal amplitude of the target radar signal is within a standard range, facilitating signal processing, the updated target radar signal can be subjected to normalization processing to obtain a normalized signal. The calculation formula of the normalized signal is:

[0034]

[0035] wherein, denotes the normalized signal, denotes the updated target radar signal, denotes the maximum value in the signal absolute value of the updated target radar signal.

[0036] Further, in order to reduce residual noise in the signal, the normalized signal can also be adaptively filtered by an adaptive filtering algorithm, and the target radar signal is updated based on the signal after adaptive filtering. The updated target radar signal is used to determine the descriptor information of the radar pulse descriptor.

[0037] The radar pulse descriptor includes at least one of pulse width, pulse amplitude, pulse repetition interval, and carrier frequency. The pulse width is used to reflect the time duration of the pulse in the target radar signal; the pulse amplitude is used to reflect the peak intensity of the pulse in the target radar signal; the pulse repetition interval is used to reflect the repetition period of the pulse in the target radar signal; and the carrier frequency is used to reflect the frequency of the target radar signal. The descriptor information includes the specific value of the radar pulse descriptor and the classification corresponding to the radar pulse descriptor. For example, when the descriptor information is a specific value, the radar pulse descriptor is the pulse amplitude, and the descriptor information is the pulse amplitude value. When the descriptor information reflects the classification, the radar pulse descriptor is the pulse width, and the pulse width corresponding to the descriptor information can include narrow pulse, medium pulse, or wide pulse.

[0038] In this embodiment, the target radar signal is processed by bandwidth filtering and adaptive filtering to minimize the impact of noise on the target radar signal. In addition, the normalization processing ensures that the amplitude of the target radar signal is within a standard range, facilitating subsequent signal processing operations.

[0039] In this embodiment, the specific implementation of determining the descriptor information of the radar pulse descriptor of the target radar signal includes: performing short-time Fourier transform processing on the target radar signal to obtain a frequency domain signal corresponding to the target radar signal; performing logarithmic transform processing on the frequency domain signal to obtain a logarithmic amplitude spectrum corresponding to the target radar signal; and determining the descriptor information of the radar pulse descriptor of the target radar signal based on the logarithmic amplitude spectrum.

[0040] In order to comprehensively capture the information contained in the target radar signal, the target radar signal can be processed by short-time Fourier transform, thereby reflecting the time-frequency characteristics of the target radar signal. Specifically, a Hamming window function can be used for short-time Fourier transform processing to reduce spectral leakage and reduce the impact of spectral sidelobes.

[0041] It should be noted that the time-frequency distribution of the frequency domain signal is a complex spectrum, including real part, imaginary part, modulus, and phase. The real part reflects the time-frequency information of the real part of the target radar signal. The imaginary part is used to reflect the time-frequency information of the imaginary part of the target radar signal, the modulus is used to reflect the energy intensity of the target radar signal, and the phase is used to reflect the phase angle of the target radar signal.

[0042] In a specific implementation, in order to enhance the feature recognition capability, the frequency domain signal can be converted into a logarithmic amplitude spectrum, that is, the frequency domain signal is logarithmically transformed. Specifically, the logarithmic transformation process is as follows:

[0043]

[0044] wherein, represents the logarithmic amplitude spectrum, represents the frequency domain signal. represents a positive integer less than a preset threshold, and is obtained by avoiding the case that the true number is zero in the logarithmic operation, ensuring the stability of the calculation.

[0045] In this embodiment, in order to facilitate subsequent effective determination of signal feature information, the logarithmic amplitude spectrum can be normalized to generate a preset standard size time-frequency image. The time-frequency image contains multi-dimensional features. By extracting the image features in the time-frequency image, the description word information of the radar pulse description word of the target radar signal is determined.

[0046] This embodiment determines the time-frequency feature of the target radar signal through short-time Fourier transform processing, and enhances the feature recognition capability through logarithmic transformation processing, facilitating effective determination of the signal feature information in the target radar signal.

[0047] S120, based on the description word information and the feature extraction layer of the pre-constructed interference decision network, extracting the signal feature information corresponding to the target radar signal.

[0048] In order to be able to more fully and effectively utilize the description word information, the description word information can be split to split into multiple description segments. By extracting features of each description segment, more detailed information can be extracted. Specifically, each description segment can be input to the feature extraction layer of the pre-constructed interference decision network, and information corresponding to each description segment is output based on the feature extraction layer to determine the signal feature information corresponding to the target radar signal. Optionally, the feature extraction layer includes a Transformer layer. The feature extraction layer includes a spatial feature extraction network layer and / or a temporal feature extraction network layer. The spatial feature extraction network layer is used to extract the potential association between different radar pulse description words in each description segment; the temporal feature extraction network layer is used to capture the dynamic features of the target radar signal over time.

[0049] S130, based on the interference decision layer of the interference decision network and the signal feature information, determining a target interference scheme for coping with the target radar signal, so as to emit a target interference signal according to the target interference scheme.

[0050] In the embodiment, the signal feature information can be input to an interference decision layer of the interference decision network, and through output information of the interference decision layer, a target interference scheme is determined from multiple preset interference schemes, and a target interference signal is transmitted according to the target interference scheme.

[0051] The technical scheme of the embodiment of the application, in the case that a target radar signal transmitted by a radar system is received, determines description word information of a radar pulse description word of the target radar signal; based on the description word information and a feature extraction layer of a pre-constructed interference decision network, signal feature information corresponding to the target radar signal is extracted; through an interference decision layer of the interference decision network and the signal feature information, a target interference scheme for coping with the target radar signal is determined, so that a target interference scheme corresponding to the target radar signal is flexibly determined according to the signal feature information of the received target radar signal each time, to cope with variable radar signals; meanwhile, the radar system is interfered through the target interference scheme corresponding to the target radar signal, which helps to improve the accuracy of the interference operation.

[0052] Figure 2 is a flowchart of another interference scheme determination method provided by the embodiment of the application. The embodiment, on the basis of the above-mentioned embodiments, proposes that the feature extraction layer includes a spatial feature extraction network layer, a temporal feature extraction network layer and a mask network layer; the implementation manner in which the signal feature information corresponding to the target radar signal is extracted based on the description word information and the feature extraction layer of the pre-constructed interference decision network includes: inputting the description word information to the spatial feature extraction network layer, and extracting spatial feature information of the description word information through the spatial feature extraction network layer; inputting the spatial feature information to the temporal feature extraction network layer, to obtain spatio-temporal feature information corresponding to the description word information; inputting the spatio-temporal feature information to the mask network layer, to obtain the signal feature information corresponding to the target radar signal. Wherein, the same or corresponding terms as in the above-mentioned embodiments are not described here again. As shown in Figure 2 The method includes:

[0053] S210, in the case that a target radar signal transmitted by a radar system is received, description word information of a radar pulse description word of the target radar signal is determined.

[0054] S220, the description word information is input to a spatial feature extraction network layer, and spatial feature information of the description word information is extracted through the spatial feature extraction network layer.

[0055] Optionally, the descriptor information can be split into multiple descriptor segments, and each descriptor segment is input into the spatial feature extraction network layer. Alternatively, the descriptor information can also be directly input into the spatial feature extraction network layer. For the case of inputting each descriptor segment into the spatial feature extraction network layer, the spatial feature extraction network layer can process each descriptor segment using a self-attention mechanism.

[0056] In this embodiment, the output information of the spatial feature extraction network layer can be determined as the spatial feature information. For the case of inputting each descriptor segment into the spatial feature extraction network layer, after inputting each descriptor segment into the spatial feature extraction network layer, the spatial feature extraction network layer extracts the spatial features between each radar pulse descriptor in each descriptor segment, thereby identifying the potential association between different radar pulse descriptors. For example, the relationship between the pulse width and the pulse repetition interval is identified. The output information corresponding to each descriptor segment is combined to obtain the spatial feature information. For the case of directly inputting the descriptor information into the spatial feature extraction network layer, the output information of the spatial feature extraction network layer can be directly used as the spatial feature information.

[0057] S230, input the spatial feature information into a temporal feature extraction network layer to obtain spatio-temporal feature information corresponding to the descriptor information; input the spatio-temporal feature information into a mask network layer to obtain signal feature information corresponding to the target radar signal.

[0058] The mask network layer is used to perform element-by-element multiplication processing on the spatio-temporal feature information based on a pre-set mask matrix. The mask network layer includes a feedforward network layer, a mask layer, and an activation function layer.

[0059] In this embodiment, the spatial feature information can be input into the temporal feature extraction network layer, and the output information of the temporal feature extraction network layer can be used as the spatio-temporal feature information. It should be noted that the main task of the temporal feature extraction network layer is to process the continuous features in the time dimension, thereby capturing the dynamic features of the target radar signal over time. Since the key characteristics of the target radar signal usually exhibit certain regularities in time, the temporal feature extraction network layer identifies these regularities through a self-attention mechanism and generates a high-dimensional representation with temporal features.

[0060] Further, after completing the joint representation of the spatio-temporal features, the obtained spatio-temporal feature information is input into the mask network layer. The main role of the mask network layer is to selectively highlight the features related to decision-making and suppress irrelevant interference factors according to the current state of the radar. Specifically, the mask matrix can be set according to the current state of the radar. After inputting the spatio-temporal feature information into the mask network layer, the spatio-temporal feature information is multiplied element by element with the mask matrix, and the result obtained after the multiplication is used as the signal feature information.

[0061] This embodiment employs a hierarchical feature extraction method to extract richer and more accurate time-frequency features from the target radar signal, thereby enabling a clearer analysis of the target radar signal from both temporal and spatial perspectives. Furthermore, a masking network layer is used to selectively highlight features relevant to decision-making.

[0062] S240. Based on the interference decision-making layer and signal characteristic information of the interference decision-making network, determine the target interference scheme to deal with the target radar signal, and transmit the target interference signal according to the target interference scheme.

[0063] In this embodiment, signal feature information can be input to the interference decision layer to obtain output information. Optionally, the output information can be target scheme information of the target interference scheme; for example, the target scheme information includes the name and number of the target scheme. A preset interference scheme corresponding to the target scheme information is used as the target interference scheme, and the target interference signal is transmitted according to the target interference scheme. Alternatively, the output information can also be the matching degree value between the target radar signal and each preset interference scheme. Based on the interference decision layer of the interference decision network and the signal feature information, the specific implementation method for determining the target interference scheme to counter the target radar signal includes: inputting the signal feature information to the interference decision layer to determine the matching degree value between at least one preset interference scheme and the target radar signal, and determining the target interference scheme based on the matching degree value.

[0064] Specifically, after inputting signal characteristic information to the jamming decision layer, the system outputs a matching degree value between the target radar signal and each preset jamming scheme. The preset jamming scheme with the highest matching degree value can be determined as the target jamming scheme. Alternatively, any preset jamming scheme with a matching degree value greater than a preset matching degree threshold can be determined as the target jamming scheme.

[0065] This embodiment determines the target jamming scheme by matching degree value, thereby selecting the jamming scheme that is more suitable for the target radar signal as the target jamming scheme, thus improving the accuracy of jamming operation.

[0066] The embodiments corresponding to the jamming scheme determination method have been described in detail above. In order to enable those skilled in the art to further understand the technical solution of this method, the jamming scheme determination method will be described below in the context of performing a penetration mission.

[0067] To ensure the jamming decision network remains highly efficient in complex and ever-changing radar environments, its network parameters can be continuously optimized through reinforcement learning. Optionally, the jamming decision network is obtained through reinforcement learning. In scenarios involving penetration missions, the jamming decision network is trained using reinforcement learning based on the interaction data between the radar system and the jammer during the penetration mission.

[0068] Optionally, the process of reinforcement learning of the interference decision network comprises: receiving a radar feedback signal corresponding to the target interference signal after transmitting the target interference signal according to the target interference scheme; determining a target reward value of the interference decision network based on a signal change between the radar feedback signal and the target radar signal, adjusting network parameters of the interference decision network based on the target reward value, and determining a next interference scheme of a next radar signal based on the interference decision network after the network parameters are adjusted.

[0069] In this embodiment, the signal change between the target radar signal and the radar feedback signal can be determined. For example, the signal change comprises at least one of a pulse width change, an amplitude change, a repetition interval change, and a carrier frequency change. The target reward value of the interference decision network is determined based on the signal change. Specifically, the greater the change between the target radar signal and the radar feedback signal reflected by the signal change, the higher the target reward value; otherwise, the smaller the change between the target radar signal and the radar feedback signal reflected by the signal change, the lower the target reward value. The network parameters of the interference network are adjusted through the proximal policy optimization algorithm and the target reward value, so as to determine a next interference scheme of a next radar signal based on the interference network after the network parameters are adjusted. The next radar signal is a radar signal received in the next penetration task. The next interference scheme is an interference scheme for interfering with the next radar signal.

[0070] Further, the target reward value can also be determined based on a working mode of the radar feedback signal, and the network parameters in the interference decision network are adjusted based on the target reward value. For example, if the target radar signal adopts a first working mode and the radar feedback signal adopts a second working mode, the target reward value can be determined based on a first signal-to-noise ratio corresponding to the first working mode and a second signal-to-noise ratio corresponding to the second working mode. For example, the greater the change value between the first signal-to-noise ratio and the second signal-to-noise ratio, the more effective the target interference scheme, and the higher the target reward value; otherwise, the smaller the change value, the lower the target reward value.

[0071] In addition, the target reward value can also be determined based on interference information corresponding to the target interference scheme. Specifically, the interference information comprises an interference duration and / or an interference power of the target interference signal. The longer the interference duration, the lower the target reward value; otherwise, the higher the target reward value. The higher the interference power, the lower the target reward value; otherwise, the higher the target reward value.

[0072] In this embodiment, the interference decision network is trained by reinforcement learning, so as to more accurately identify and adapt to complex and variable radar environments, thereby improving the interference effect. When adjusting the network parameters in the interference decision network, the interference duration and the output power of the agent when performing the interference action are considered, and the factors considered are more comprehensive.

[0073] Figure 3 Fig. 1 shows a structural schematic diagram of an interference scheme determination device according to an embodiment of the present application, which is used to execute the interference scheme determination method provided in any of the above embodiments. The device and the interference scheme determination method of each of the above embodiments belong to the same inventive concept, and details not described in the embodiment of the interference scheme determination device can be referred to the embodiment of the interference scheme determination method. As shown in the figure, the device comprises: Figure 3

[0074] a description word information determination module 10, configured to determine description word information of a radar pulse description word of a target radar signal in a case where the target radar signal transmitted by a radar system is received;

[0075] a signal feature information extraction module 11, configured to extract signal feature information corresponding to the target radar signal based on the description word information and a feature extraction layer of a pre-constructed interference decision network;

[0076] a target interference scheme determination module 12, configured to determine a target interference scheme for coping with the target radar signal based on an interference decision layer of the interference decision network and the signal feature information, so as to transmit a target interference signal in accordance with the target interference scheme.

[0077] Optionally, in the embodiment of any of the optional technical solutions of the present application, the description word information determination module 10 comprises:

[0078] a Fourier transform unit, configured to perform short-time Fourier transform processing on the target radar signal to obtain a frequency domain signal corresponding to the target radar signal;

[0079] a logarithmic transform unit, configured to perform logarithmic transform processing on the frequency domain signal to obtain a logarithmic amplitude spectrum corresponding to the target radar signal;

[0080] a description word information determination unit, configured to determine the description word information of the radar pulse description word of the target radar signal based on the logarithmic amplitude spectrum.

[0081] Optionally, in the embodiment of any of the optional technical solutions of the present application, the feature extraction layer comprises a spatial feature extraction network layer, a temporal feature extraction network layer and a mask network layer.

[0082] The signal feature information extraction module 11 comprises:

[0083] a spatial feature information extraction unit, configured to input the description word information into the spatial feature extraction network layer, and extract spatial feature information of the description word information through the spatial feature extraction network layer;

[0084] ​The spatial feature information input unit is configured to input the spatial feature information into the time feature extraction network layer to obtain time-space feature information corresponding to the descriptive word information.

[0085] The time-space feature information input unit is configured to input the time-space feature information into the mask network layer to obtain signal feature information corresponding to the target radar signal.

[0086] Optionally, based on any one of the optional technical solutions in the embodiments of the present application, the target interference scheme determination module 12 comprises:

[0087] The signal feature information input unit is configured to input the signal feature information into the interference decision layer to determine a matching degree value between at least one preset interference scheme and the target radar signal through the interference decision layer, and determine the target interference scheme based on the matching degree value.

[0088] Optionally, based on any one of the optional technical solutions in the embodiments of the present application, the interference decision network is obtained through reinforcement learning, and the device further comprises:

[0089] The reinforcement learning module is configured to receive a radar feedback signal corresponding to the target interference signal after transmitting the target interference signal according to the target interference scheme, determine a target reward value of the interference decision network based on a signal change between the radar feedback signal and the target radar signal, and adjust network parameters of the interference decision network based on the target reward value, so as to determine a next interference scheme of a next radar signal based on the interference decision network after the network parameters are adjusted.

[0090] Optionally, based on any one of the optional technical solutions in the embodiments of the present application, the descriptive word information determination module 10 comprises:

[0091] The signal preprocessing unit is configured to perform a signal preprocessing operation on the target radar signal, and update the target radar signal based on the signal obtained after the preprocessing operation.

[0092] The signal preprocessing operation comprises at least one of a band-pass filtering operation, a normalization operation and an adaptive filtering operation.

[0093] The technical scheme of the embodiment of the present application, in the case of receiving the target radar signal sent by the radar system, determines the descriptor information of the radar pulse descriptor of the target radar signal; based on the descriptor information and the feature extraction layer of the pre-constructed interference decision network, extracts the signal feature information corresponding to the target radar signal; through the interference decision layer of the interference decision network and the signal feature information, determines the target interference scheme for coping with the target radar signal, so as to emit the target interference signal according to the target interference scheme, so that the target interference scheme corresponding to the target radar signal is flexibly determined according to the signal feature information of the received target radar signal each time, so as to cope with the variable radar signal; meanwhile, the radar system is interfered through the target interference scheme corresponding to the target radar signal, which helps to improve the accuracy of the interference operation.

[0094] It is worth noting that in the embodiment of the above interference scheme determination device, each unit and module included is only divided according to functional logic, but is not limited to the above division, as long as the corresponding function can be realized; in addition, the specific name of each functional unit is only for the convenience of mutual differentiation, and does not limit the protection scope of the present application.

[0095] Figure 4 is a structural schematic diagram of an electronic device for implementing the interference scheme determination method of the embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0096] As shown in Figure 4 , the electronic device 20 includes at least one processor 21, and a memory, such as a read-only memory (ROM) 22, a random access memory (RAM) 23, etc., which is in communication connection with the at least one processor 21, wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 21 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 22 or the computer program loaded from the storage unit 28 into the random access memory (RAM) 23. In the RAM 23, various programs and data required for the operation of the electronic device 20 can also be stored. The processor 21, the ROM 22, and the RAM 23 are connected to each other through a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0097] A plurality of components in the electronic device 20 are connected to the I / O interface 25, including: an input unit 26, such as a keyboard, a mouse, etc.; an output unit 27, such as various types of displays, speakers, etc.; a storage unit 28, such as a magnetic disk, an optical disk, etc.; and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device 20 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0098] The processor 21 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 21 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 21 performs various methods and processes described above, such as the interference scheme determination method.

[0099] In some embodiments, the interference scheme determination method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 28. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 20 via the ROM 22 and / or the communication unit 29. When the computer program is loaded onto the RAM 23 and executed by the processor 21, one or more steps of the interference scheme determination method described above can be performed. Alternatively, in other embodiments, the processor 21 can be configured to perform the interference scheme determination method by any other appropriate means, such as by means of firmware.

[0100] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0101] Computer programs for implementing the methods of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, enables the functions / acts specified in the flowcharts and / or block diagrams to be implemented. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package and partially on a remote machine or entirely on a remote machine or server.

[0102] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can 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. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, 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.

[0103] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0104] The systems and techniques described here can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here, or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0105] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0106] The embodiment also provides a computer program product, comprising a computer program which, when executed by a processor, implements the interference scheme determination method provided in any embodiment of the present application.

[0107] The computer program code implementing the application can be written in one or more programming languages or combinations of languages including object oriented languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0108] It should be understood that the various forms of flow shown above can be used to reorder, add, or remove steps. For example, the steps recited in the present application can be performed in parallel, in series, or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which are not limited herein.

[0109] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of determining an interference scheme, characterized by, The method comprises the steps of: In the case of receiving a target radar signal sent by a radar system, determining the descriptor information of the radar pulse descriptor of the target radar signal; Based on the descriptor information and the feature extraction layer of the pre-constructed interference decision network, the signal feature information corresponding to the target radar signal is extracted; Based on the interference decision layer of the interference decision network and the signal feature information, a target interference scheme for coping with the target radar signal is determined, so as to emit a target interference signal according to the target interference scheme; The determination of the descriptor information of the radar pulse descriptor of the target radar signal comprises: Performing short-time Fourier transform processing on the target radar signal to obtain a frequency domain signal corresponding to the target radar signal; Performing logarithmic transformation processing on the frequency domain signal to obtain a logarithmic amplitude spectrum corresponding to the target radar signal; Based on the logarithmic amplitude spectrum, the descriptor information of the radar pulse descriptor of the target radar signal is determined; wherein the radar pulse descriptor is pulse amplitude, the descriptor information is pulse amplitude value, the logarithmic amplitude spectrum generates a preset standard size time-frequency image through normalization processing, and the descriptor information of the radar pulse descriptor of the target radar signal is determined by extracting the image features in the time-frequency image; The feature extraction layer comprises a spatial feature extraction network layer, a time feature extraction network layer and a mask network layer; The extraction of the signal feature information corresponding to the target radar signal based on the descriptor information and the feature extraction layer of the pre-constructed interference decision network comprises: The spatial feature information of the descriptor information is extracted by inputting the descriptor information into the spatial feature extraction network layer through the spatial feature extraction network layer; The spatio-temporal feature information corresponding to the descriptor information is obtained by inputting the spatial feature information into the time feature extraction network layer; The signal feature information corresponding to the target radar signal is obtained by inputting the spatio-temporal feature information into the mask network layer; wherein the mask network layer is used for performing element-by-element multiplication processing on the spatio-temporal feature information based on a pre-set mask matrix.

2. The method of claim 1, wherein, The determination of the target interference scheme for coping with the target radar signal based on the interference decision layer of the interference decision network and the signal feature information comprises: The signal feature information is input into the interference decision layer to determine the matching degree value between at least one preset interference scheme and the target radar signal through the interference decision layer, and the target interference scheme is determined based on the matching degree value.

3. The method of claim 1, wherein, The interference decision network is obtained through reinforcement learning, and the process of reinforcement learning of the interference decision network comprises: After emitting the target interference signal according to the target interference scheme, a radar feedback signal corresponding to the target interference signal is received; Based on the signal change between the radar feedback signal and the target radar signal, the target reward value of the interference decision network is determined, the network parameters of the interference decision network are adjusted based on the target reward value, and the next interference scheme of the next radar signal is determined based on the interference decision network after adjusting the network parameters.

4. The method of claim 1, wherein, The description word information of the radar pulse description word of the target radar signal includes: The target radar signal is subjected to a signal preprocessing operation, and the target radar signal is updated based on a signal obtained after the preprocessing operation; The signal preprocessing operation includes at least one of band-pass filtering processing, normalization processing, and adaptive filtering processing.

5. An interference scheme determination device, characterized in that, It includes: The description word information determination module is configured to determine the description word information of the radar pulse description word of the target radar signal when the target radar signal sent by the radar system is received; The signal feature information extraction module is configured to extract signal feature information corresponding to the target radar signal based on the description word information and a feature extraction layer of a pre-constructed interference decision network; The target interference scheme determination module is configured to determine a target interference scheme for coping with the target radar signal based on an interference decision layer of the interference decision network and the signal feature information, so as to emit a target interference signal according to the target interference scheme; The description word information determination module includes: The Fourier transform unit is configured to perform short-time Fourier transform processing on the target radar signal to obtain a frequency domain signal corresponding to the target radar signal; The logarithmic transform unit is configured to perform logarithmic transform processing on the frequency domain signal to obtain a logarithmic amplitude spectrum corresponding to the target radar signal; The description word information determination unit is configured to determine the description word information of the radar pulse description word of the target radar signal based on the logarithmic amplitude spectrum; wherein the radar pulse description word is pulse amplitude, the description word information is pulse amplitude value, the logarithmic amplitude spectrum generates a preset standard size time-frequency image through normalization processing, and the description word information of the radar pulse description word of the target radar signal is determined by extracting image features in the time-frequency image; The feature extraction layer includes a spatial feature extraction network layer, a temporal feature extraction network layer, and a mask network layer; The signal feature information extraction module includes: The spatial feature information extraction unit is configured to input the description word information into the spatial feature extraction network layer to extract spatial feature information of the description word information through the spatial feature extraction network layer; The spatial feature information input unit is configured to input the spatial feature information into the temporal feature extraction network layer to obtain spatio-temporal feature information corresponding to the description word information; The spatio-temporal feature information input unit is configured to input the spatio-temporal feature information into the mask network layer to obtain signal feature information corresponding to the target radar signal; wherein the mask network layer is configured to perform element-by-element multiplication processing on the spatio-temporal feature information based on a pre-set mask matrix.

6. An electronic device, comprising: The electronic device includes: At least one processor; and The memory is in communication connection with the at least one processor; wherein The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the interference scheme determination method of any one of claims 1-4.

7. A computer readable storage medium characterized by, The computer readable storage medium stores computer instructions for causing the processor to implement the interference scheme determination method in any one of claims 1-4 when executed.

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