A Ground Radar Adaptive Range Amplitude Weighting System and Method

Abstract

The invention discloses a ground radar self-adaptive range-amplitude weighting system and method. The method comprises the following steps: first, a high-speed ADC module receives radar intermediate frequency echo signals, and performs digital processing on them to obtain intermediate frequency digital echo signals; and then The FPGA module performs digital quadrature down-conversion processing on the intermediate frequency digital echo signal, collects the baseband data and stores it in the EMIF external memory of the DSP; then the DSP module obtains the baseband data stored in the previous step, and then calculates the weighting coefficient based on the baseband data , and store the weighting coefficients in the EMIF external expansion memory of the DSP; finally, the FPGA module reads the weighting coefficients from the EMIF external expansion memory of the DSP, and performs digital quadrature down-conversion processing on the intermediate frequency digital echo signal according to the weighting coefficients, and obtains the weighted baseband data to realize adaptive distance-magnitude weighting. The invention can ensure that the fixed-point processing of the echo in the strong clutter area does not overflow, improves the clutter base in the long-distance weak clutter area, and further improves the detection and false alarm performance of the radar.

Description

technical field [0001] The invention belongs to the field of ground moving target reconnaissance radar digital signal processing field, in particular to a ground radar self-adaptive range amplitude weighting system and method. Background technique [0002] The target echo of ground radar contains strong ground clutter, which puts forward higher requirements for the radar signal processing system. The research on the signal processing algorithm and realization of ground target reconnaissance radar is carried out, which is very important for improving the target detection of ground reconnaissance radar. Performance matters. [0003] In the signal processing process of ground radar, FPGA generally uses fixed-point processing, which cannot adapt to the large dynamic range of ground object echoes. In order to solve this problem, the method of fixed weighting of distance and amplitude is usually adopted in the process of FPGA signal processing, but the distribution of fixed groun...

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Problems solved by technology

[0003] In the signal processing process of ground radar, FPGA generally uses fixed-point processing, which cannot adapt to the large dynamic range of ground object echoes.

In order to solve this problem, the method of fixed weighting of distance and amplitude is usually adopted in the process of FPGA signal processing, but the distribution of fixed ground objects changes with the azimuth, and the processing of fixed weighting method in different azimuths will cause a relatively large loss of performance; Another method proposes to use floating-point numbers for processing in the FPGA processing process, which can ensure a large dynamic range of data, but will greatly increase the amount of data calculation, require more resources, and is not conducive to the real-time processing of FPGA

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