Signal in-pulse characteristic real-time analysis and processing method based on FPGA high-speed preprocessing

A technology of real-time analysis and processing methods, applied to radio wave measurement systems, instruments, etc., can solve problems such as limited space for improvement, difficulty in completing tasks, and few research results, and achieve the effects of saving analysis time and avoiding addressing operations

Inactive Publication Date: 2017-03-22
THE 724TH RES INST OF CHINA SHIPBUILDING IND
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Problems solved by technology

[0006] (1) The existing algorithm needs to intercept the signal to have a certain signal-to-noise ratio requirement, and when the signal-to-noise ratio is too low, misjudgment often occurs
[0007] (2) There are many kinds of intra-pulse modulation methods of radar signals, and various intra-pulse modulation feature analysis and recognition algorithms need to be used for parallel processing. At present, there are few domestic research results on the comprehensive judgment of the analysis and discrimination results of the algorithm.
[0009] (4) At present, it is still a di

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  • Signal in-pulse characteristic real-time analysis and processing method based on FPGA high-speed preprocessing
  • Signal in-pulse characteristic real-time analysis and processing method based on FPGA high-speed preprocessing
  • Signal in-pulse characteristic real-time analysis and processing method based on FPGA high-speed preprocessing

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Embodiment Construction

[0019] Overall flow chart of the present invention is as figure 1 shown.

[0020] s1. Perform high-speed sampling and digital down-conversion of analog intermediate frequency data through the FPGA chip to obtain the envelope and instantaneous phase of the signal;

[0021] s2. Estimate the amplitude, pulse width, frequency and other parameters of the intermediate frequency data through the FPGA chip;

[0022] s3. After the FPGA high-speed preprocessing is completed, the pulse description word and intermediate frequency data are transmitted to the intra-pulse feature analysis module through the high-speed RocketI / O built in the FPGA using the optical fiber medium;

[0023] s4: After receiving the pulse description word and intermediate frequency data, the intra-pulse characteristic analysis module analyzes bit by bit according to the format of the pulse description word, and obtains parameter information such as frequency, pulse width, amplitude, and data length;

[0024] s5: ...

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Abstract

The invention realizes a signal in-pulse characteristic real-time analysis and processing method based on FPGA high-speed preprocessing, which is applied to a fine analysis subsystem of a passive detection system, determines signal types of unknown signals rapidly and carries out parameter estimation. The signal in-pulse characteristic real-time analysis and processing method provided by the invention can realize the effects of estimating intermediate frequency data in a pipeline analysis concern range (frequency, pulse width and amplitude) in an acquisition mode, and displaying PDW frequency, pulse width and amplitude information and an in-pulse characteristic graphical analysis result; and the signal in-pulse characteristic real-time analysis and processing method can analyze the in-pulse characteristics of the PDW corresponding to the intermediate frequency data in real time when a user selects the designated PDW in a playback mode. The signal in-pulse characteristic real-time analysis and processing method utilizes the integration of an FPGA chip and analysis software, accelerates the analysis speed, and meets the requirement of real-time performance.

Description

technical field [0001] The technology belongs to the field of passive radar data processing of passive detection technology. Background technique [0002] Radar signal intra-pulse modulation feature recognition technology is an important means of target signal recognition. It refers to the intra-pulse modulation feature recognition of these signals on the basis of intercepted radar signals in time domain, frequency domain and air domain, and extracts characteristic parameters. [0003] There are many methods for intrapulse feature analysis of radar signals, and the current popular algorithms are mainly divided into time domain analysis method, modulation domain analysis method, and time-frequency domain analysis method. Since intravein feature extraction is a highly confidential military technique, relatively few foreign research results appear in open literature, and most of the public ones are intravein feature extraction methods based on the time-frequency domain. In the...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/418
Inventor 翟晓宇王谦诚武明西卢笑天
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND
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