CN113805155A - Method, apparatus, device and medium for designing multichannel system receiving filter bank - Google Patents
Method, apparatus, device and medium for designing multichannel system receiving filter bank Download PDFInfo
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Abstract
The application relates to a method, a device, equipment and a medium for designing a receiving filter bank of a multi-channel system, wherein the method comprises the following steps: determining a normalized Doppler frequency interval of a detection target according to system detection parameters of a multi-channel system; the parameters comprise a code length of a transmitted signal, a detection target speed interval and a system carrier frequency; obtaining the maximum signal-to-noise ratio loss allowed by a multi-channel system; the maximum signal-to-noise ratio loss is determined by the task requirements of the multi-channel system; determining a receiving filter bank of a multi-channel system as a design variable, and acquiring an optimized design index selected based on task requirements; according to the normalized Doppler frequency interval and the optimization design index, constructing an optimization model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss; and solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint. The purpose of remarkably improving the relevant output characteristic of the receiver is achieved.
Description
Technical Field
The present application relates to the field of radar detection technologies, and in particular, to a method, an apparatus, a device, and a medium for designing a multi-channel system receive filter bank.
Background
Common multi-channel systems, including MIMO (Multiple input Multiple output) radar systems, CDMA (Code Division Multiple Access) systems, simultaneous fully-polarized radar systems, and the like, require good orthogonality between the waveforms of the receive filters of different receive channels and the waveforms of other transmit channels in order to reliably separate the waveforms from the different transmit channels and suppress interference. Meanwhile, in order to achieve the detection performance of any transmission channel on a target and the suppression performance on interference, a transmission waveform and a receiving filter of the same channel are required to have good autocorrelation performance. In addition, in order to adapt to the signal processing of a moving target, the receiving-end correlation output signal is required to have good tolerance to the doppler shift of the target, i.e. the receiving filter bank should have good doppler tolerance.
Aiming at the design problem of the high-Doppler-tolerance receiving filter bank, a traditional solution is the design problem of the receiving filter bank based on the nonnegative polynomial square sum, and the optimization of the peak-to-side lobe ratio and the Doppler tolerance of an output signal is realized under the constraint of signal-to-noise ratio loss. However, in the process of implementing the present invention, the inventor finds that the conventional receiving filter bank design method has a technical problem that the relevant output characteristics of the receiver are not good in the receiving filter bank design for a multi-channel system.
Disclosure of Invention
In view of the above, it is necessary to provide a method for designing a multi-channel system receiving filter bank, an apparatus for designing a multi-channel system receiving filter bank, a computer device and a computer readable storage medium, which can achieve the purpose of significantly improving the correlation output characteristics of a receiver in the design of a multi-channel system-oriented receiving filter bank.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in one aspect, an embodiment of the present invention provides a method for designing a receiving filter bank of a multi-channel system, including:
determining a normalized Doppler frequency interval of a detection target according to system detection parameters of a multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency;
obtaining the maximum signal-to-noise ratio loss allowed by a multi-channel system; the maximum signal-to-noise ratio loss is determined by the task requirements of the multi-channel system;
determining a receiving filter bank of a multi-channel system as a design variable, and acquiring an optimized design index selected based on task requirements;
according to the normalized Doppler frequency interval and the optimization design index, constructing an optimization model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss;
and solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
In another aspect, an apparatus for designing a multi-channel system receiving filter bank is provided, including:
the frequency determination module is used for determining a normalized Doppler frequency interval of a detection target according to system detection parameters of the multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency;
the loss determining module is used for acquiring the maximum signal-to-noise ratio loss allowed by the multi-channel system; the maximum signal-to-noise ratio loss is determined by the task requirements of the multi-channel system;
the index acquisition module is used for determining a receiving filter bank of the multi-channel system as a design variable and acquiring an optimized design index selected based on task requirements;
the optimization construction module is used for constructing an optimization model of the high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimization design index;
and the optimization output module is used for solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
In yet another aspect, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of any one of the above-mentioned multi-channel system receiving filter bank design methods when executing the computer program.
In yet another aspect, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps of any of the above-mentioned multi-channel system receive filter bank design methods.
One of the above technical solutions has the following advantages and beneficial effects:
the method, the device, the equipment and the medium for designing the multichannel system receiving filter bank determine the normalized Doppler frequency interval of a detected target according to system detection parameters such as the code length of a transmitting signal of the multichannel system, the speed interval of the detected target, the carrier frequency of the system and the like, then obtain the maximum signal-to-noise ratio loss allowed by the multichannel system, determine the receiving filter bank as a design variable and obtain an optimized design index selected based on task requirements, further construct an optimized model of the high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimized design index, and finally solve the optimized model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the constraint of the maximum signal-to-noise ratio loss, so that the relevant output of a receiver has low sidelobe characteristic in a specified Doppler frequency interval and a distance interval, therefore, the detection and parameter measurement of the multiple moving targets can be realized, and the purpose of obviously improving the relevant output characteristics of the receiver is achieved.
Drawings
FIG. 1 is a flow diagram illustrating a method for designing a receive filter bank of a multi-channel system in one embodiment;
FIG. 2 is a flow chart illustrating a method for designing a multi-channel system receive filter bank in accordance with another embodiment;
fig. 3 is a schematic diagram of a cross-ambiguity function of a receive filter 2 and a transmit waveform 1 designed under the condition of SNRL-0 dB in one embodiment;
fig. 4 is a schematic diagram of the cross-ambiguity function of the receive filter 2 and the transmit waveform 1 designed under the condition of SNRL ═ 0.5dB in one embodiment;
fig. 5 is a diagram illustrating a cross-ambiguity function between the transmit waveform 1 and the receive filter 2 under the condition of SNRL of 1dB in one embodiment;
fig. 6 is a schematic diagram of a cross-ambiguity function of the receive filter 2 and the transmit waveform 1 designed under the condition of SNRL ═ 1.5dB in one embodiment;
fig. 7 is a schematic diagram of a cross-ambiguity function of the receive filter 1 and the transmit waveform 1 designed under the condition of SNRL-0 dB in one embodiment;
fig. 8 is a schematic diagram of the cross-ambiguity function of the receive filter 1 and the transmit waveform 1 designed under the condition of SNRL ═ 0.5dB in one embodiment;
fig. 9 is a schematic diagram of a cross-ambiguity function of the receive filter 1 and the transmit waveform 1 designed under the condition of SNRL ═ 1dB in one embodiment;
fig. 10 is a schematic diagram of a cross-ambiguity function of the receive filter 1 and the transmit waveform 1 designed under the condition of SNRL ═ 1.5dB in one embodiment;
fig. 11 is a block diagram of a filter bank design apparatus for a multichannel system according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should be considered to be absent and not within the protection scope of the present invention.
Compared with the matched filter, the non-matched filter is used at the cost of sacrificing the signal-to-noise ratio of the receiving end, so that greater design freedom can be obtained, and better correlation performance can be obtained. In order to adapt to the signal processing of a moving target, the receiving-end correlation output signal is required to have good tolerance to the doppler shift of the target, i.e. the receiving filter bank should have good doppler tolerance.
The traditional design method of the receiving filter bank cannot optimize other common indexes such as integral sidelobe ratio of output signals, and simultaneously optimally designs a specific Doppler velocity interval and a distance sidelobe interval, so that the optimization performance of the design method and the application in a multi-channel scene are limited.
In summary, the present invention is directed to a conventional method for designing a receive filter bank, and in designing a receive filter bank for a multi-channel system, the technical problem of poor correlation output characteristics of the receiver exists, a novel design method of a receiving filter bank of a multi-channel system is provided for designing the receiving filter bank with good correlation performance aiming at the multi-channel system and improving the Doppler tolerance of the output signal of a receiving end, so that the relevant output of the receiver has low sidelobe characteristic in the appointed Doppler frequency interval and range interval, the designed high Doppler tolerance receiving filter bank facing the multichannel system, the received signal has extremely low sidelobe in specific Doppler frequency and range interval after relevant processing, therefore, the detection and parameter measurement of multiple moving targets can be realized, and the purpose of remarkably improving the relevant output characteristics of the receiver in the design of a receiving filter bank facing a multi-channel system is realized.
Referring to fig. 1, in one aspect, the present invention provides a method for designing a multi-channel system receiving filter bank, including the following steps S12 to S20:
s12, determining the normalized Doppler frequency interval of the detected target according to the system detection parameters of the multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency.
It can be understood that firstly, a normalized Doppler frequency interval [ f ] is determined according to the code length N of a transmitting signal, the bandwidth B of the transmitting signal, the speed interval of a detected target and the carrier frequency of a system of a multi-channel systemmin,fmax]. The multi-channel system may be, but is not limited to, a MIMO radar system, a CDMA system, a simultaneous fully-polarized radar system, and the like. In the present embodiment, a radar system is taken as an example for description.
In one embodiment, the normalized doppler frequency bin is:
wherein ,fminRepresenting a lower frequency limit, f, of said normalized Doppler frequency intervalmaxRepresenting the upper frequency limit of the normalized Doppler frequency interval, N representing the code length of the transmitted signal, B representing the bandwidth of the transmitted signal, f0Representing the system carrier frequency, c representing the speed of light, vminIndicating minimum speed, v, of the detected objectmaxIndicating the maximum speed of the detected object.
In one embodiment, as shown in fig. 2, after the step S12, the method may further include the step S13:
s13, the normalized doppler frequency interval is divided into a plurality of doppler frequency intervals at equal intervals in a set discrete interval.
In particular, the normalized Doppler frequency interval [ f ] may bemin,fmax]Divided into L sections at equal intervals of set discrete intervals Δ f, i.e.
Then each bin in the discretized frequency interval can be represented as:
fl＝fmin+(l-1)·Δf,l＝1,…,L
s14, obtaining the maximum signal-to-noise ratio loss allowed by the multi-channel system; the maximum signal-to-noise ratio loss is determined by the mission requirements of the multi-channel system.
It can be appreciated that, compared to using a matched filter, using a non-matched filter at the expense of the signal-to-noise ratio at the receiving end, a greater degree of design freedom can be obtained and thus better correlation performance can be obtained. Different radar systems are endowed with different task requirements, and the determined task requirements determine the input, output and signal processing performances required by the radar systems, so that the signal-to-noise ratio loss constraint of the radar systems, namely the maximum signal-to-noise ratio loss SNRL, can be directly given according to the task requirements of the radar systems.
In some embodiments, the maximum signal-to-noise ratio loss SNRL of a multichannel system when using a non-matched filter can be expressed as:
wherein M represents the number of groups of the receiving filter, | - | represents the modulo operation, | | - | luminance22-norm operation representing the magnitude of the vector, (.)HRepresenting the conjugate operation, M is the number of system channels, xmIs the transmit waveform of the mth channel, hmA receive filter designed for the mth channel is required.
And S16, determining a receiving filter bank of the multi-channel system as a design variable, and acquiring an optimized design index selected based on task requirements.
It can be understood that, by taking a receiving filter bank of a multi-channel system as a design variable, an optimized design index which can be selected in advance according to task requirements can include the amplitude and phase of a receiving filter, the waveform of an integral sidelobe ratio and a peak sidelobe ratio, and the like. The optimized design index can be obtained by means of direct loading, manual uploading or setting and the like.
And S18, constructing an optimization model of the high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimization design index.
It can be understood that, according to the task requirement of the multi-channel system, the signal-to-noise ratio loss constraint SNRL is given, and by adjusting the energy selection factor, the optimal design model of the high doppler tolerance receiving filter bank under the signal-to-noise ratio loss constraint can be constructed by using the determined/obtained parameters.
According to the radar signal processing theory, M groups of receiving filters with code length N can be expressed as:
hm＝[hm(1) hm(1) … hm(N)],m＝1,…,M
wherein ,hm(n1)：
For the receive filter sequence to be designed, am(n1) Represents hm(n1) Amplitude of (phi)m(n1) Represents hm(n1) N represents the code length of the transmitted signal.
Conventional multi-channel systems require that the receive filters of different receive channels have good orthogonality with the waveforms of other transmit channels, i.e., zero cross-correlation functions, in order to reliably separate the waveforms from the different transmit channels while suppressing interference. Meanwhile, in order to achieve the detection performance of any transmission channel on a target and the suppression performance on interference, a transmission waveform and a receiving filter of the same channel are required to have good autocorrelation performance, namely, an autocorrelation function of an impulse-like function.
In addition, in order to adapt to the signal processing of a moving target, the receiving-end correlation output signal is required to have good tolerance to the doppler shift of the target, i.e. the receiving filter bank should have good doppler tolerance. Compared with the matched filter, the non-matched filter is used at the cost of sacrificing the signal-to-noise ratio of the receiving end, so that greater design freedom can be obtained, and better correlation performance can be obtained. Therefore, for a multi-channel system, the essence of the design of the receiving filter bank is to find the amplitude and phase sequence under the constraint of signal-to-noise ratio loss so that the receiving filter bank and the transmitting waveform of the system have good correlation characteristics.
In some embodiments, according to radar signal processing theory, the mth1Transmit waveform for each channel
And m is2Receiving filter of one channel
Is a function of mutual ambiguity
Can be expressed as:
m1,m2＝1,…,M
wherein ,(·)*Represents a conjugate operation, and m1Phase-coded sequence of transmit waveforms for individual channels
And m is2One-channel receive filter sequence
Respectively as follows:
wherein ,
to represent
Is determined by the amplitude of the signal (c),
to represent
Is determined by the multi-channel system; n represents the code length of the transmitted signal;
to represent
Is determined by the amplitude of the signal (c),
to represent
The phase of (2) needs to be optimally designed; f. oflThe frequency bins representing the normalized doppler frequency interval,
and
two different phase-encoding sequences are represented, respectively.
Specifically, for a multi-channel system, in order to achieve the design purpose, under the constraint of signal-to-noise ratio loss, an optimization model of a receiving filter bank which enables a receiving end output signal to have good sidelobe performance in a preset doppler frequency interval is constructed and can be represented as follows:
s.t.SNRL≤μ
wherein ,
H＝[h1 h2 … hM],hm＝[hm(1) … hm(N)],m＝1,…,M
where H denotes a set of receive filter banks, HmDenotes a receiving filter to be designed for the mth channel, L denotes the number of segments divided at equal intervals for the normalized Doppler frequency interval, N denotes the code length of the transmission signal, M denotes the number of groups of the receiving filter, f denotes the number of groups of the receiving filterlFrequency point representing normalized Doppler frequency interval, w (n)2,fl) Representing a distance-velocity interval weighting factor,
denotes the m-th1Transmit waveform for each channel
And m is2Receiving filter of one channel
Of a mutual blur function ofkRepresenting a function of distance in a manner that is a function of the medical degree,
representing the doppler-crohn's disease function,
represents the waveform, a function of the Kremon, SNRL represents the maximum SNR loss, μ represents the SNR loss threshold, and p ∈ [2, + ∞) ] is the energy selection factor.
When p → 2, wsl (h) turns into an integral side lobe ratio design index, and when p → + ∞, (wsl (h))1/pIt is converted into a peak sidelobe ratio waveform design index.
And S20, solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
It can be understood that, after the optimization model is constructed, a solver existing in the field may be used to automatically solve the optimization model to obtain a receiving filter bank of each channel of the receiver to be designed, which is used to build a receiving filter bank actually applied in a multi-channel system such as a radar system.
Specifically, an fmincon solver in a Matlab tool can be adopted to solve an optimization model of a receiving filter bank with good side lobe performance and output in a preset doppler frequency interval at a receiving end of the multichannel system, and a high doppler tolerance receiving filter bank meeting signal-to-noise ratio loss constraint is designed.
The calling format of the fmincon solver is as follows:
H＝fmincon(fun,H0,A,b,Aeq,beq,lb,ub,nonlcon)
where fun is the objective function, H0For the initial solution, a, b represents the constraint a · H ≦ b, Aeq, beq represents the constraint Aeq · H ≦ beq, lb, ub represents the lower and upper constraints, and nocclone represents the custom nonlinear constraint. For the optimization model of the method, fun is the objective function WSL (H), H0Can be generated by random initialization, i.e. H0＝ej2 π·rand(N,M)Wherein rand (N, M) denotes a residue generated at [0,1 ]]All are provided withThe N multiplied by M dimensional matrix formed by uniformly distributed random numbers, the signal to noise ratio loss constraint SNRL is not more than mu, and the design problem of the high Doppler tolerance receiving filter bank can be solved by the nonclon self-definition under the specific signal to noise ratio loss constraint condition.
The design method of the multichannel system receiving filter bank comprises the steps of firstly determining a normalized Doppler frequency interval of a detected target according to system detection parameters such as a transmitted signal code length, a detected target speed interval, a system carrier frequency and the like of a multichannel system, then obtaining the maximum signal-to-noise ratio loss allowed by the multichannel system, determining the receiving filter bank as a design variable and obtaining an optimized design index selected based on task requirements, further constructing an optimized model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimized design index, finally solving the optimized model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the constraint of the maximum signal-to-noise ratio loss, so that the related output of a receiver has low sidelobe characteristics in a specified Doppler frequency interval and a distance interval, therefore, the detection and parameter measurement of the multiple moving targets can be realized, and the purpose of obviously improving the relevant output characteristics of the receiver is achieved.
The design method of the multichannel system receiving filter bank can adjust and optimize an objective function by controlling the energy selection factor on the basis of determining the transmitting signal parameters, the target parameters and the signal-to-noise ratio loss constraint, and design the multichannel system-oriented high Doppler tolerance receiving filter bank, so that the multichannel system can realize the detection and parameter measurement of the moving target on the basis of separating different transmitting channel signals.
In addition, in the design process, the objective function can be adjusted by adjusting the energy selection factor parameter in the optimization model according to the task requirement of the system, so that the optimization result has better scene adaptability. According to an application scene, the output signal of the multi-channel system can have extremely low side lobes in a specific Doppler frequency interval and a specific distance side lobe interval by controlling the side lobe weighting factor, and compared with the optimization of a full fuzzy function, the method has better side lobe performance and is beneficial to the detection and measurement of weak and small targets.
In one embodiment, in order to more intuitively and fully describe the above-mentioned multi-channel system receiving filter bank design method, an example of an experiment performed by applying the above-mentioned multi-channel system receiving filter bank design method is given below.
It should be noted that the implementation example given in this specification is only illustrative and is not the only limitation of the specific implementation of the present invention, and those skilled in the art can implement experiments and waveform design applications in different application scenarios by using the above-mentioned design method of the multi-channel system receiving filter bank in the same manner as the illustration of the implementation example provided in the present invention. Some specific parameters given in the following examples are merely exemplary, and the values may be changed to suitable values accordingly in different embodiments.
Typical parameters set in the examples are as follows: m-2, N-128,
the ambiguity functions of the receive filter bank and the transmit waveform obtained in step S20 are shown in fig. 3 to 6, where the transmit signal is a random initial phase-coded waveform, and p is 2, i.e., the objective function is an integrated side lobe ratio, under the snr loss constraint of SNRL 0dB, SNRL 0.5dB, SNRL 1dB, and SNRL 1.5dB, respectively.
Further changes are made such that M is 2, N is 256,
the remaining parameters are unchanged, the transmitting signal is the optimized phase-coded waveform, and the ambiguity function of the receiving filter bank and the transmitting waveform obtained in step S20 is shown in fig. 7 to 10.
Specifically, the transmission signal is a random initial phase-coded waveform, the signal-to-noise ratio loss constraints are respectively SNRL-0 dB, SNRL-0.5 dB, SNRL-1 dB, and SNRL-1.5 dB, and the cross-ambiguity functions of the reception filter 1 and the transmission waveform 2 are respectively shown in fig. 3, 4, 5, and 6. The transmitting signal is the optimized phase coding waveform, the signal-to-noise ratio loss constraints are respectively SNRL-0 dB, SNRL-0.5 dB, SNRL-1 dB and SNRL-1.5 dB, and the mutual ambiguity functions of the receiving filter 1 and the transmitting waveform 1 are respectively shown in fig. 7, 8, 9 and 10.
From the results of the example, it can be seen that as the snr loss constraint is gradually released, the side lobe of the blur function is gradually reduced within the preset doppler frequency and range side lobe interval, and the snr loss of 0.5dB can reduce the side lobe by about 10 dB. Further, comparing the results shown in fig. 3 to fig. 6 and fig. 7 to fig. 10, it can be seen that, if the transmit waveform itself already has good correlation performance, the correlation performance of the output signal can be further improved by designing the receive filter. Therefore, the method can be combined with other transmission waveform design methods, and the sidelobe performance of the pulse pressure output signal of the receiving end can be further improved.
It should be understood that although the various steps in the flow diagrams of fig. 1 and 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps of fig. 1 and 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
Referring to fig. 11, in an embodiment, there is further provided a multi-channel system receiving filter bank designing apparatus 100, which includes a frequency determining module 11, a loss determining module 13, an index obtaining module 15, an optimization constructing module 17, and an optimization outputting module 19. The frequency determination module 11 is configured to determine a normalized doppler frequency interval of a probe target according to a system probe parameter of a multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency. The loss determining module 13 is configured to obtain a maximum snr loss allowed by the multi-channel system; the maximum signal-to-noise ratio loss is determined by the mission requirements of the multi-channel system. The index obtaining module 15 is configured to determine a receiving filter bank of the multi-channel system as a design variable, and obtain an optimized design index selected based on task requirements. The optimization construction module 17 is configured to construct an optimization model of the high doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized doppler frequency interval and the optimization design index. The optimization output module 19 is configured to perform solution processing on the optimization model by using a model solver, so as to obtain a high doppler tolerance receiving filter bank that satisfies the maximum signal-to-noise ratio loss constraint.
The multichannel system receiving filter bank design device 100 determines a normalized Doppler frequency interval of a detection target according to system detection parameters such as a transmission signal code length, a detection target speed interval, a system carrier frequency and the like of a multichannel system through cooperation of all modules, then obtains the maximum signal-to-noise ratio loss allowed by the multichannel system, determines a receiving filter bank as a design variable and obtains an optimized design index selected based on task requirements, further constructs an optimized model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimized design index, and finally solves the optimized model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the constraint of the maximum signal-to-noise ratio loss, so that the relevant output of a receiver has low sidelobe characteristics in a specified Doppler frequency interval and a distance interval, therefore, the detection and parameter measurement of the multiple moving targets can be realized, and the purpose of obviously improving the relevant output characteristics of the receiver is achieved.
For specific limitations of the multi-channel system receive filter bank design apparatus 100, reference may be made to the corresponding limitations of the multi-channel system receive filter bank design method in the foregoing, and details are not repeated here. The respective modules in the multi-channel system receiving filter bank designing apparatus 100 may be wholly or partially implemented by software, hardware, or a combination thereof. The modules may be embedded in a hardware form or a device independent of a specific data processing function, or may be stored in a memory of the device in a software form, so that a processor may invoke and execute operations corresponding to the modules.
In still another aspect, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the following steps: determining a normalized Doppler frequency interval of a detection target according to system detection parameters of a multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency; obtaining the maximum signal-to-noise ratio loss allowed by a multi-channel system; the maximum signal-to-noise ratio loss is determined by the task requirements of the multi-channel system; determining a receiving filter bank of a multi-channel system as a design variable, and acquiring an optimized design index selected based on task requirements; according to the normalized Doppler frequency interval and the optimization design index, constructing an optimization model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss; and solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
In one embodiment, the processor when executing the computer program may further implement the additional steps or sub-steps of the embodiments of the method for designing a multi-channel system receive filter bank.
In yet another aspect, there is also provided a computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of: determining a normalized Doppler frequency interval of a detection target according to system detection parameters of a multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency; obtaining the maximum signal-to-noise ratio loss allowed by a multi-channel system; the maximum signal-to-noise ratio loss is determined by the task requirements of the multi-channel system; determining a receiving filter bank of a multi-channel system as a design variable, and acquiring an optimized design index selected based on task requirements; according to the normalized Doppler frequency interval and the optimization design index, constructing an optimization model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss; and solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
In one embodiment, the computer program, when executed by the processor, may further implement the additional steps or sub-steps of the embodiments of the multi-channel system receive filter bank design method described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link DRAM (Synchlink) DRAM (SLDRAM), Rambus DRAM (RDRAM), and interface DRAM (DRDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the spirit of the present application, and all of them fall within the scope of the present application. Therefore, the protection scope of the present patent should be subject to the appended claims.
Claims (10)
1. A design method of a multi-channel system receiving filter bank is characterized by comprising the following steps:
determining a normalized Doppler frequency interval of a detection target according to system detection parameters of a multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency;
obtaining the maximum signal-to-noise ratio loss allowed by the multichannel system; the maximum signal-to-noise ratio loss is determined by the mission requirements of the multichannel system;
determining a receiving filter bank of the multi-channel system as a design variable, and acquiring an optimized design index selected based on the task requirement;
constructing an optimization model of a high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimization design index;
and solving the optimized model by using a model solver to obtain a high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
2. The method for designing a multi-channel system receiving filter bank according to claim 1, wherein after the step of determining the normalized doppler frequency bin of the detected object according to the system detection parameters of the multi-channel system, the method further comprises:
dividing the normalized Doppler frequency interval at equal intervals at set discrete intervals to form a plurality of sections of Doppler frequency intervals;
the discrete interval is Δ f:
wherein ,fminRepresenting a lower frequency limit, f, of said normalized Doppler frequency intervalmaxAnd L represents the number of segments divided into the normalized Doppler frequency interval at equal intervals.
3. The method of claim 1 or 2, wherein the normalized doppler frequency bin is:
wherein ,fminRepresenting a lower frequency limit, f, of said normalized Doppler frequency intervalmaxRepresenting the upper frequency limit of the normalized Doppler frequency interval, N representing the code length of the transmitted signal, B representing the bandwidth of the transmitted signal, f0Representing the system carrier frequency, c representing the speed of light, vminIndicating minimum speed, v, of the detected objectmaxIndicating the maximum speed of the detected object.
4. The method of claim 3, wherein the optimization model is:
s.t.SNRL≤μ
wherein ,
H＝[h1 h2 … hM],hm＝[hm(1) … hm(N)],m＝1,…,M
where H denotes a set of receive filter banks, HmA receiving filter required to be designed for the mth channel is represented, L represents the number of sections divided at equal intervals in the normalized Doppler frequency interval, N represents the code length of the transmitting signal, M represents the number of groups of the receiving filter, flFrequency points, w (n), representing the normalized Doppler frequency interval2,fl) Representing a distance-velocity interval weighting factor,
denotes the m-th1Transmit waveform for each channel
And m is2Receiving filter of one channel
Of a mutual blur function ofkRepresenting a function of distance in a manner that is a function of the medical degree,
representing the doppler-crohn's disease function,
represents the waveform, a function of the Kremon, SNRL represents the maximum SNR loss, μ represents the SNR loss threshold, and p ∈ [2, + ∞) ] is the energy selection factor.
5. Multichannel system according to claim 4The design method of the receiving filter bank is characterized in that the receiving filter sequence to be designed for the mth channel is hm(n1)：
wherein ,am(n1) Represents hm(n1) Amplitude of (phi)m(n1) Represents hm(n1) N represents the code length of the transmitted signal.
6. The method of claim 5, wherein the cross-ambiguity function is based on a number of filter sets
Comprises the following steps:
m1,m2＝1,…,M
wherein ,(·)*Represents a conjugate operation, and m1Phase-coded sequence of transmit waveforms for individual channels
And m is2One-channel receive filter sequence
Respectively as follows:
wherein ,
to represent
Is determined by the amplitude of the signal (c),
to represent
N represents the code length of the transmitted signal,
to represent
Is determined by the amplitude of the signal (c),
to represent
Phase of (d), flFrequency bins representing the normalized Doppler frequency interval,
and
two different phase-encoding sequences are represented, respectively.
7. The method of claim 1, wherein the maximum snr loss is SNRL:
wherein M represents the number of groups of the receiving filter, | - | represents the modulo operation, | | - | luminance22-norm operation representing the magnitude of the vector, (.)HRepresenting the conjugate operation, M is the number of system channels, xmIs the transmit waveform of the mth channel, hmA receive filter designed for the mth channel is required.
8. An apparatus for designing a multi-channel system receive filter bank, comprising:
the frequency determination module is used for determining a normalized Doppler frequency interval of a detection target according to system detection parameters of the multi-channel system; the system detection parameters comprise a code length of a transmitting signal of the multi-channel system, a detection target speed interval and a system carrier frequency;
the loss determining module is used for acquiring the maximum signal-to-noise ratio loss allowed by the multichannel system; the maximum signal-to-noise ratio loss is determined by the mission requirements of the multichannel system;
the index acquisition module is used for determining a receiving filter bank of the multi-channel system as a design variable and acquiring an optimized design index selected based on the task requirement;
the optimization construction module is used for constructing an optimization model of the high Doppler tolerance receiving filter bank under the constraint of the maximum signal-to-noise ratio loss according to the normalized Doppler frequency interval and the optimization design index;
and the optimization output module is used for solving the optimization model by using a model solver to obtain the high Doppler tolerance receiving filter bank meeting the maximum signal-to-noise ratio loss constraint.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the multi-channel system receive filter bank design method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for designing a multi-channel system receive filter bank according to any one of claims 1 to 7.
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