CN115186426B - Method, device and equipment for modeling main target identification full link of radio frequency detection system - Google Patents
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Abstract
The embodiment of the disclosure provides a method, a device and equipment for modeling a main target identification full link of a radio frequency detection system. The method comprises the steps of modeling a target detection scene and simulating a signal; performing digital modeling simulation on the radio frequency detection antenna system; and carrying out digital modeling simulation on the signal processing process. In this way, the high cost brought by links such as physical development and laboratory field performance test in the traditional method can be greatly reduced, the effectiveness and feasibility of the core processing algorithm and the system design scheme can be effectively verified in advance, and the efficiency of product design and performance test is improved.
Description
Technical Field
The disclosure relates to the field of radars, and in particular to the technical field of digital simulation.
Background
The main target full-link scene modeling of the miniaturized radio frequency detection system aiming at digital simulation plays a great role in verifying the system performance and algorithm effectiveness. However, the main targets and the multiple targets in the cluster targets need to be simulated one by one, so that the model environment is complex, the number of target modeling parameters is large, the number of motion state modeling elements is large, the test cost is high, and meanwhile, the reference alignment in each link of the model and the running process of the dynamic data stream is a special problem for restricting the construction efficiency of the full-link modeling method.
Most of the current modeling methods are special environment model building methods, the model design flow is not uniform, and building elements are different, so that the model building period is long, the full-link model operation efficiency is low, and the data accuracy and reliability are reduced.
Disclosure of Invention
The disclosure provides a method, a device, equipment and a storage medium for modeling a main target identification full link of a radio frequency detection system.
According to a first aspect of the present disclosure, a method for modeling a primary object identification full link of a radio frequency detection system is provided. The method comprises the following steps:
modeling and signal simulation of a target detection scene are carried out;
performing digital modeling simulation on the radio frequency detection antenna system;
and carrying out digital modeling simulation on the signal processing process.
In some implementations of the first aspect, performing object detection scene modeling and signal simulation includes:
constructing a combined radio frequency signal oriented to a main target identification application;
and constructing a main target echo signal and a plurality of secondary target echo signals according to the combined radio frequency signals.
In some implementations of the first aspect, performing a digital modeling simulation of the signal processing procedure includes:
and carrying out antenna gain simulation on the antenna simulation model, and simulating antenna receiving/transmitting and channel, pitching direction difference channel, azimuth direction difference channel and standing wave phase.
In some implementations of the first aspect, the method further includes:
and carrying out dynamic data flow simulation and outputting a processing result.
In some implementations of the first aspect, performing the dynamic data flow simulation includes:
constructing a main target and a plurality of secondary target echo signals in real time;
processing the main target and a plurality of secondary target echo signals received by the antenna simulation model in real time to obtain a processing result;
the processing result comprises distance measurement information, speed measurement information, pitch angle measurement value and azimuth angle measurement value of the main target.
In some implementations of the first aspect, the real-time processing includes:
and predicting and identifying the target track based on the combined radio frequency signal waveform.
According to a second aspect of the present disclosure, there is provided a radio frequency detection system main target recognition full link modeling apparatus, comprising:
the simulation module is used for carrying out target detection scene modeling and signal simulation;
the simulation module is also used for carrying out digital modeling simulation on the radio frequency detection antenna system;
the simulation module is also used for carrying out digital modeling simulation on the signal processing process.
According to 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 first aspect as described above when executing the program, and in some implementations of the first aspect a method for modeling a primary object identification full link of a radio frequency detection system.
According to 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 the first aspect as described above, and in some implementations of the first aspect a method of full link modeling for primary object identification of a radio frequency detection system.
The method, the device, the equipment and the storage medium for modeling the main target identification full link of the radio frequency detection system provided by the disclosure firstly perform target detection scene modeling and signal simulation; then, carrying out digital modeling simulation on the radio frequency detection antenna system; and finally, carrying out digital modeling simulation on the signal processing process. The method can greatly reduce the high cost brought by links such as physical development, laboratory field performance test and the like in the traditional way, can efficiently verify the validity and feasibility of a core processing algorithm and a system design scheme in advance, and improves the efficiency of product design and performance test.
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. For a better understanding of the present disclosure, and without limiting the disclosure thereto, the same or similar reference numerals denote the same or similar elements, wherein:
fig. 1 is a schematic flow chart of a method for modeling a primary target identification full link of a radio frequency detection system according to an embodiment of the disclosure;
fig. 2 is a schematic structural diagram of a main target identification full-link modeling apparatus of a radio frequency detection system according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an exemplary electronic device provided by an embodiment 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.
The main target full-link scene modeling of the miniaturized radio frequency detection system aiming at digital simulation plays a great role in verifying the system performance and algorithm effectiveness. However, the main targets and the multiple targets in the cluster targets need to be simulated one by one, so that the model environment is complex, the number of target modeling parameters is large, the number of motion state modeling elements is large, the test cost is high, and meanwhile, the reference alignment in each link of the model and the running process of the dynamic data stream is a special problem for restricting the construction efficiency of the full-link modeling method.
Most of the current modeling methods are special environment model building methods, the model design flow is not uniform, and building elements are different, so that the model building period is long, the full-link model operation efficiency is low, and the data accuracy and reliability are reduced.
In order to solve the problems of long model construction period, low full-link model operation efficiency and reduced data accuracy and reliability, the disclosure provides a method, a device, equipment and a storage medium for modeling a main target identification full-link of a radio frequency detection system, wherein the method comprises the following steps: modeling and signal simulation of a target detection scene are carried out; performing digital modeling simulation on the radio frequency detection antenna system; and carrying out digital modeling simulation on the signal processing process.
The technical solutions provided by the embodiments of the present disclosure are described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for modeling a primary object identification full link of a radio frequency detection system according to an embodiment of the present disclosure, as shown in fig. 1, where the method includes:
s101: and carrying out object detection scene modeling and signal simulation.
It should be noted that, the process of performing object detection scene modeling and signal simulation in S101 may include constructing a combined radio frequency signal facing the primary object recognition application; and constructing a main target echo signal and a plurality of secondary target echo signals according to the combined radio frequency signals.
Specifically, a transmission signal database may be constructed first, and specific parameters of signals may be set through signal type number selection, with the following expression:
in the formula, type i The signal type of the i-th radio frequency signal comprises a linear frequency modulation signal, a single pulse signal, a continuous wave signal and the like, and can be represented by the numbers 1,2 and 3, and tau i PRT representing the signal pulse width of the ith RF signal i Representing the pulse repetition period of the ith radio frequency signal, A i Represents the i-th radio frequency signal amplitude, B i Indicating the bandwidth of the i-th radio frequency signal,represents the initial phase, m, of the ith radio frequency signal i Indicating whether the ith rf signal has other complex modulations.
Secondly, constructing echo receiving signals of a main target and a plurality of secondary targets, and selecting specific parameters of the set signals according to the number of the echo signals, wherein the expression is as follows:
r i ＝Ar i ·f(s i )+n i +c i
wherein Ar is i A target scattering cross-sectional area modulation amplitude s representing the ith received signal i Represents the waveform of the ith radio frequency signal, f () represents the delay and frequency offset modulation function of the radio frequency signal, n i Representing ambient noise, c i Representing ambient clutter. The echo signals received by the system are therefore expressed as:
where n represents the number of signals of the primary target and the secondary target, and n=1 is assumed to be the primary target echo signal, and the rest is assumed to be the secondary target echo signal.
In one embodiment, the acquiring of the combined radio frequency signal may specifically be acquiring a waveform basic set of the combined radio frequency signal first; then, carrying out first screening on the combined radio frequency signal waveform basic set according to the target motion speed in the multi-target scene of the detection cluster; then, carrying out second screening according to prior information of targets in the multi-target scene of the detection cluster; and finally, carrying out third screening according to the prior motion track and the position relation between the main target and the secondary target to obtain the combined radio frequency signal.
S102: and carrying out digital modeling simulation on the radio frequency detection antenna system.
Specifically, in the process of performing digital modeling simulation on the radio frequency detection antenna system, a digitally modeled antenna pattern may be described as:
in the formula, θ represents a pitch angle,represents azimuth angle, A is antenna aperture area, lambda is radio frequency signal working wavelength, eta is amplitude weighted aperture efficiency, and the general value range is 0.6-0.8, < + >>For the amplitude of the array element mismatch reflection coefficient, R loss For the purpose of integrated ohmic loss->The value is usually in the range of 0.4-0.7 # -, and is usually in the range of 0.4-0.7 # ->Is an array element factor, generally approximates an omnidirectional array element radiation pattern>As a factor, it is known that the beam shape is mainly determined by the array element arrangement of the factor.
In addition, in one embodiment, the rf probe antenna system signal may be preprocessed, which may specifically include modeling basic performance parameters such as channel gain, channel phase consistency, and the like. And then carrying out hardware function and software algorithm processing on the preprocessed signals, including digital mixing, analog-digital signal conversion and modeling of multi-target recognition algorithm processing on the sum channel, the pitching direction difference channel and the azimuth direction difference channel.
S103: and carrying out digital modeling simulation on the signal processing process.
The process of performing digital modeling simulation on the signal processing process in S103 may specifically include performing simulation on antenna gain of an antenna simulation model, and simulation on antenna receiving/transmitting and channel, pitch direction difference channel, azimuth direction difference channel, and standing wave phase.
In one embodiment, dynamic data flow simulation may also be performed to output the processing results.
In one embodiment, performing dynamic data flow simulation may include constructing a primary target and a plurality of secondary target echo signals in real time;
processing the main target and a plurality of secondary target echo signals received by the antenna simulation model in real time to obtain a processing result;
the processing results comprise distance measurement information, speed measurement information, pitch angle measurement value and azimuth angle measurement value of the main target.
Specifically, for example, full-link digital modeling can be performed by adopting full-digital model modeling software SystemVue, including whole target detection, system receiving, signal processing full-flow dynamic data flow simulation, and finally outputting the processing result, wherein the result at least comprises distance measurement information d 'of a main target' 1 Velocity measurement information v' 1 Pitch angle measurement 0' 1 Azimuth angle measurement
In one embodiment, the real-time processing may include target trajectory prediction and identification based on the combined RF signal waveforms.
Specifically, target trajectory prediction and identification based on the combined radio frequency signal waveforms may include:
s201, selecting a combined radio frequency waveform suitable for a current distance state from a preset combined radio frequency waveform basic set according to scene distribution of a detection target, and transmitting the combined radio frequency waveform;
s202, receiving radio frequency echo signals, and preprocessing the received radio frequency echo data to obtain a distance-Doppler two-dimensional image;
and S203, performing complex likelihood ratio detection according to the distance-Doppler two-dimensional image to obtain multi-target track information.
In step S201, a preset basic set of combined rf waveforms is designed according to parameter constraints of distance detection.
According to the requirement for small target detection under the condition of complex motion, the parameter constraint conditions of long-distance, medium-distance and short-distance detection are considered, and the combined radio frequency waveform suitable for different distances is designed.
According to the radio frequency detection principle, the maximum detectable distance expression of the system is as follows
Wherein p is t The peak power of the radio frequency detection system is G, the antenna gain is G, lambda is the wavelength of a transmitted signal, sigma is the scattering cross section area of a target, k is the Boltzmann constant, T 0 For a standard reference temperature, B is the receiver bandwidth, F is the receiver noise figure, L is the system loss factor, and SNR is the minimum detectable signal-to-noise ratio.
According to the maximum detectable distance expression of the radio frequency detection, designing a radio frequency emission signal parameter set as
s＝{s 1 ,s 2 ,s 3 ,..,s i ,...}
Wherein s represents a basic combined radio frequency detection set obtained by the whole process detection of the radio frequency detection platform without shielding, and s i Representing the i-th possible unobstructed detected RF waveform parameter, i.e
s i ＝{T i ,PRF i ,A i ,B i ,m i }
T in i Pulse width of transmission signal representing ith radio frequency waveform, PRF i A transmission signal pulse repetition frequency representing the ith radio frequency waveform, A i Transmission signal amplitude of ith radio frequency waveform, B i Transmission signal bandwidth of ith radio frequency waveform, m i The transmit signal duty cycle of the ith rf waveform.
In step S202, selecting a combined rf waveform suitable for the current distance state from a preset combined rf waveform basic set includes:
selecting a combined radio frequency waveform suitable for the current distance state from a preset combined radio frequency waveform basic set according to parameter constraint conditions of each distance detection; the parameter constraint conditions comprise target size constraint, pulse repetition frequency constraint, speed resolution constraint, distance resolution constraint, sampling rate constraint and data rate constraint.
According to the scene distribution of the actual detection target, considering parameter constraint conditions of long-distance, medium-distance and short-distance detection, selecting a combined radio frequency waveform suitable for a distance state in real time, wherein the constraint condition expression is as follows
C＝{L,f r ,Δv,ΔR,f s ,D}
L is a target size constraint defined as follows:
where c is the speed of light and τ is the wavelength of the radio frequency signal.
f r For the pulse repetition frequency constraint, the following is defined:
v in max To detect the maximum relative velocity of the platform and the target, V' max To detect the maximum speed of the platform, f 0 The carrier frequency of the radio frequency signal, c is the speed of light.
Deltav is a speed resolution constraint defined as follows:
Δv≤Δv r
in Deltav r The speed resolution of the radar is represented by the speed resolution requirement under the normal calculation condition of the fast Fourier transform, and the speed resolution requirement is used for distinguishing different targets and guaranteeing the multi-target resolution.
ΔR is a distance resolution constraint defined as follows:
wherein c is the speed of light and B is the bandwidth of the radio frequency signal.
f s For the sampling rate constraint, the nyquist sampling theorem needs to be satisfied, so as to ensure that the spectrum is not aliased.
D is a data rate constraint defined as follows:
wherein N pulses accumulate to a number M r The number of frequency agility parameters, T, is the pulse repetition frequency.
Under the interaction of constraint conditions, parameter combinations conforming to the current radio frequency echo signals are selected in real time to form self-adaptive combined radio frequency waveforms, so that effective identification of multiple types of targets is realized, and primary detection targets and secondary targets are distinguished from each other.
In step S203, performing complex likelihood ratio detection according to the distance-doppler two-dimensional image, to obtain multi-target track information includes:
and (5) solving the maximum value mark of the complex likelihood ratio function as main target track information.
The range-doppler two-dimensional image preprocessing extraction model is defined as follows:
z k ＝exp{jφ}h(x k )+n k +c k
in n k Complex gaussian white noise signal for receiving data for the kth frame c k For the kth frame of ambient clutter signal, phi is the target signal phase information, h (x k ) As a point spread function, x k The signal is received for the kth frame radio frequency.
Calculating a complex likelihood ratio function according to the preprocessing result, wherein the complex likelihood ratio function is defined as follows:
wherein H represents conjugate transpose transformation, R is a radio frequency receiving signal noise covariance matrix,is a zero order bessel function.
In step S201, the method further includes:
and predicting the target track by a Kalman filtering algorithm.
Obtaining cluster multi-target track information according to the complex likelihood ratio detection result, solving a maximum value mark of the complex likelihood ratio function as main target track information, distinguishing and removing secondary target tracks in the cluster targets, and predicting the target track by a Kalman filtering algorithm, wherein the prediction information comprises distance, speed and angle information of the main targets of the next frame. Thus, the combined radio frequency signal waveform self-adaptive target track extraction, main target identification and track prediction are completed.
As can be seen from the above disclosure, the method for modeling a main target identification full link of a radio frequency detection system provided by the present disclosure includes first performing target detection scene modeling and signal simulation; then, carrying out digital modeling simulation on the radio frequency detection antenna system; and finally, carrying out digital modeling simulation on the signal processing process. According to the method and the system, the mathematical modeling of the identification and detection of the main target and the secondary target of the radio frequency detection system can be completed by means of the full digital simulation model and the international universal simulation platform system Vue according to the basic requirements of the current radio frequency detection system on the effective identification and detection of the main target in the detection scene of the superposition of the main target and the plurality of secondary targets. It can be seen that the method is simple to implement, can greatly reduce the high cost brought by links such as physical development and laboratory field performance test in the traditional process, can efficiently verify the validity and feasibility of the core processing algorithm and the system design scheme in advance, and improves the efficiency of product design and performance test.
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.
Corresponding to the flow chart of the method for modeling the primary object recognition full link of the rf detection system shown in fig. 1, fig. 2 shows a schematic structural diagram of an apparatus for modeling the primary object recognition full link of the rf detection system, as shown in fig. 2, the apparatus 200 may include:
the simulation module can be used for modeling a target detection scene and simulating signals;
the simulation module can also be used for carrying out digital modeling simulation on the radio frequency detection antenna system;
the simulation module can also be used for carrying out digital modeling simulation on the signal processing process.
In one embodiment, the apparatus may further comprise a construction module that may be used to construct a combined radio frequency signal for the primary target identification application;
the construction module may be further configured to construct a primary target and a plurality of secondary target echo signals from the combined radio frequency signal.
In one embodiment, the simulation module may be further configured to simulate an antenna gain of the antenna simulation model, and simulate antenna receiving/transmitting and channel, pitch direction difference channel, azimuth direction difference channel, and standing wave phase.
In one embodiment, the simulation module may be further configured to perform dynamic data flow simulation, and output a processing result.
In one embodiment, the simulation module may also be used to construct the primary target and the plurality of secondary target echo signals in real time; processing the main target and a plurality of secondary target echo signals received by the antenna simulation model in real time to obtain a processing result; the processing result comprises distance measurement information, speed measurement information, pitch angle measurement value and azimuth angle measurement value of the main target.
In one embodiment, the apparatus may further comprise a processing module that may be used to predict and identify the target trajectory based on the combined radio frequency signal waveforms.
The main target identification all-link modeling device of the radio frequency detection system provided by the disclosure comprises the steps of firstly performing target detection scene modeling and signal simulation; then, carrying out digital modeling simulation on the radio frequency detection antenna system; and finally, carrying out digital modeling simulation on the signal processing process. According to the method and the system, the mathematical modeling of the identification and detection of the main target and the secondary target of the radio frequency detection system can be completed by means of the full digital simulation model and the international universal simulation platform system Vue according to the basic requirements of the current radio frequency detection system on the effective identification and detection of the main target in the detection scene of the superposition of the main target and the plurality of secondary targets. It can be seen that the method is simple to implement, can greatly reduce the high cost brought by links such as physical development and laboratory field performance test in the traditional process, can efficiently verify the validity and feasibility of the core processing algorithm and the system design scheme in advance, and improves the efficiency of product design and performance test.
It can be understood that each module in the main object recognition all-link modeling apparatus of the radio frequency detection system shown in fig. 2 has a function of implementing each step in fig. 1, and can achieve a corresponding technical effect, which is not described herein for brevity.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 3 shows a schematic block diagram of an electronic device 300 that may be used to implement embodiments of the present disclosure. Electronic devices are 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 may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
The device 300 comprises a computing unit 301 that may perform various suitable actions and processes in accordance with a computer program stored in a Read Only Memory (ROM) 302 or loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data required for the operation of the device 300 may also be stored. The computing unit 301, the ROM302, and the RAM303 are connected to each other by a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, etc.; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, an optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as the primary object recognition full link modeling method of the radio frequency detection system of fig. 1. For example, in some embodiments, the radio frequency detection system primary object recognition full link modeling method of fig. 1 may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 300 via the ROM302 and/or the communication unit 309. When the computer program is loaded into RAM303 and executed by the computing unit 301, one or more steps of the above-described radio frequency detection system primary object identification full link modeling method may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the radio frequency detection system primary object identification full link modeling method of fig. 1 in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
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.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically 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. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (6)
1. A method for modeling a main target identification full link of a radio frequency detection system comprises the following steps:
performing object detection scene modeling and signal simulation, including: constructing a combined radio frequency signal for main target identification application, wherein the acquisition process of the combined radio frequency signal is to acquire a combined radio frequency signal waveform basic set firstly, then to perform first screening on the combined radio frequency signal waveform basic set according to the target motion speed in a detection cluster multi-target scene, then to perform second screening according to the prior information of the target in the detection cluster multi-target scene, and finally to perform third screening according to the prior motion track and the position relation between the main target and the secondary target to obtain the combined radio frequency signal; constructing a main target and a plurality of secondary target echo signals according to the combined radio frequency signals, wherein the echo receiving signal expression of the ith target is as follows:
r i ＝Ar i ·f(s i )+n i +c i
wherein Ar is i A target scattering cross-sectional area modulation amplitude s representing the ith received signal i Represents the waveform of the ith radio frequency signal, f () represents the delay and frequency offset modulation function of the radio frequency signal, n i Representing ambient noise, c i Representing environmental clutter;
performing digital modeling simulation on the radio frequency detection antenna system, wherein the antenna pattern of the digital modeling is described as follows:
in the formula, θ represents a pitch angle,represents azimuth angle, A is antenna aperture area, lambda is radio frequency signal working wavelength, eta is amplitude weighted aperture efficiency, < ->For the amplitude of the array element mismatch reflection coefficient, R loss For the purpose of integrated ohmic loss->Is element factor->Is an array factor;
and carrying out full-link digital modeling simulation on the signal processing process by adopting full-digital model modeling software, carrying out real-time processing on the main target and a plurality of secondary target echo signals received by the antenna simulation model to obtain a processing result, wherein the processing result comprises distance measurement information, speed measurement information, pitch angle measurement value and azimuth angle measurement value of the main target, and outputting the processing result.
2. The method of claim 1, wherein digitally modeling simulation of a signal processing process comprises:
and carrying out antenna gain simulation on the antenna simulation model, and simulating antenna receiving/transmitting and channel, pitching direction difference channel, azimuth direction difference channel and standing wave phase.
3. The method of claim 2, wherein the real-time processing comprises:
and predicting and identifying the target track based on the combined radio frequency signal waveform.
4. A radio frequency detection system primary object identification full link modeling apparatus comprising:
the simulation module is used for carrying out object detection scene modeling and signal simulation, wherein the carrying out object detection scene modeling and signal simulation comprises the following steps: constructing a combined radio frequency signal for main target identification application, wherein the acquisition process of the combined radio frequency signal is to acquire a combined radio frequency signal waveform basic set firstly, then to perform first screening on the combined radio frequency signal waveform basic set according to the target motion speed in a detection cluster multi-target scene, then to perform second screening according to the prior information of the target in the detection cluster multi-target scene, and finally to perform third screening according to the prior motion track and the position relation between the main target and the secondary target to obtain the combined radio frequency signal; constructing a main target and a plurality of secondary target echo signals according to the combined radio frequency signals, wherein the echo receiving signal expression of the ith target is as follows:
r i ＝Ar i ·f(s i )+n i +c i
wherein Ar is i A target scattering cross-sectional area modulation amplitude s representing the ith received signal i Represents the waveform of the ith radio frequency signal, f () represents the delay and frequency offset modulation function of the radio frequency signal, n i Representing ambient noise, c i Representing environmental clutter;
the simulation module is further configured to perform digital modeling simulation on the radio frequency detection antenna system, where a digitally modeled antenna pattern is described as:
in the formula, θ represents a pitch angle,represents azimuth angle, A is antenna aperture area, lambda is radio frequency signal working wavelength, eta is amplitude weighted aperture efficiency, < ->For the amplitude of the array element mismatch reflection coefficient, R loss For the purpose of integrated ohmic loss->Is element factor->Is an array factor;
the simulation module is further used for carrying out full-link digital modeling simulation on the signal processing process by adopting full-digital model modeling software, carrying out real-time processing on the main target and the multiple secondary target echo signals received by the antenna simulation model to obtain a processing result, wherein the processing result comprises distance measurement information, speed measurement information, pitch angle measurement value and azimuth angle measurement value of the main target, and outputting the processing result.
5. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-3.
6. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-3.
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