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A multi-processor cooperative radiation source frequency parameter estimation device and method

A parameter estimation and multi-processor technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of difficult algorithm implementation, long time consumption, low signal-to-noise ratio, etc., and achieve good real-time performance and improved Processing time, solving effects with low precision

Active Publication Date: 2021-11-12
无锡国芯微电子系统有限公司
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  • Description
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  • Application Information

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Problems solved by technology

[0006] In order to solve the above-mentioned problems, the object of the present invention is to provide a multi-processor cooperative radiation source frequency parameter estimation device and method, which can overcome the problem of implementing pulses based on FPGA when facing signals with complex intra-pulse modulation and low signal-to-noise ratio. The problem of difficult algorithm implementation and low efficiency brought about by the analysis of internal modulation characteristics can also overcome the time-consuming problem of the method of realizing intra-pulse modulation characteristic analysis based on DSP, thereby realizing complex signal processing while improving software processing time Algorithm, while ensuring the processing accuracy and processing speed

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  • A multi-processor cooperative radiation source frequency parameter estimation device and method
  • A multi-processor cooperative radiation source frequency parameter estimation device and method

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Effect test

Embodiment 1

[0044] Such as figure 1 As shown, a multi-processor cooperative radiation source frequency parameter estimation device, the device is based on FPGA and DSP processors to form a hardware platform for intra-pulse parameter estimation, including: EMIF interface communication module, SRIO interface communication module, parameter estimation module;

[0045] Wherein, the EMIF interface communication module is used to realize the communication of instructions and data between DSP and FPGA, including the sending of control flow instructions, the sending of chirp signal parameters, and the sending of slope and frequency in the parameter estimation process;

[0046] The SRIO interface communication module is used to realize high-speed data transmission between DSP and FPGA;

[0047] The parameter estimation module is used to perform calculation and iterative analysis of spectrum centroid and eccentricity to the frequency measurement deskewing data transmitted by FPGA, and obtain the ac...

Embodiment 2

[0050] A method for estimating frequency parameters based on the device for estimating frequency parameters of a multiprocessor cooperative radiation source described in Embodiment 1, comprising the following steps,

[0051] Step 1: After the DSP initialization is completed, notify the FPGA to start the frontier detection through the EMIF interface, and send the detection threshold to the FPGA at the same time;

[0052] Step 2: FPGA detects the leading edge according to the leading edge detection threshold, caches the data when an effective leading edge is detected, and transmits the leading edge data to the DSP through the SRIO interface;

[0053] Step 3: After the DSP receives the SRIO interface interrupt, it calculates the extraction factor nextrct corresponding to the current pulse signal, and then sends the extraction factor nextrct, the rough frequency fest0 and the rough slope kest0 to the FPGA through the EMIF interface;

[0054] Step 4: The FPGA extracts the cached da...

Embodiment 3

[0059] A method for estimating frequency parameters of a multiprocessor cooperative radiation source as described in Embodiment 2, the rough estimation slope direction unit described in step 5 performs noise floor estimation and frequency spectrum according to the amplitude data of n times m-point fast Fourier transform Centroid calculation, judging the slope correction direction, and calculating the iterative slope, the specific steps include:

[0060] Step 5-1, estimating the noise floor according to the amplitude data of the m-point fast Fourier transform of n times;

[0061] Step 5-2, calculate the centroids of n m-point fast Fourier transform spectrum amplitudes respectively, and filter out all frequency point amplitudes greater than the noise floor to calculate the centroids;

[0062] Step 5-3, Estimating the residual slope kdir: According to the n centroids obtained in step 5-2, the centroid curve is obtained, and the residual slope kdir is calculated by using the two g...

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Abstract

The invention discloses a multi-processor cooperative radiation source frequency parameter estimation device and method. The device is based on FPGA and DSP processors to form a hardware platform for intra-pulse parameter estimation, including: EMIF interface communication module, SRIO interface communication module, parameter Estimation module. In the face of signals with complex intra-pulse modulation methods and low signal-to-noise ratio, it can not only overcome the problems of algorithm implementation difficulties and low efficiency brought about by the analysis of intra-pulse modulation characteristics based on FPGA, but also overcome the problems of implementing intra-pulse modulation based on DSP The method of characteristic analysis takes a long time, so that the complex signal processing algorithm is realized while the software processing time is improved, and the processing accuracy and processing speed are guaranteed.

Description

technical field [0001] The invention relates to the technical field of radar pulse signal interception, in particular to a multi-processor cooperative radiation source frequency parameter estimation device and method after passive radar pulse signal interception. Background technique [0002] With the rapid development of radar technology, the industry has more functional requirements and stricter performance requirements for radar, which brings more complex radar signal processing algorithms. The realization of these algorithms requires the radar signal processing system to increase the operating speed and improve the data processing capability at the same time, which is a big challenge for the current signal processing technology. [0003] Traditional radar signal processing systems mostly use a single processor, and generally there are two solutions based on FPGA chips and DSP chips. As a specialized microprocessor, DSP has the advantages of very flexible software and fa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02G01S7/40G05B19/042G06F17/14
CPCG01S7/02G01S7/40G05B19/0421G06F17/142
Inventor 李成强董肖璘李晓婷魏宪举
Owner 无锡国芯微电子系统有限公司
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