Ground-based radar adaptive range-amplitude weighting system and method

Abstract

The invention discloses a ground-based radar adaptive range-amplitude weighting system and method. The method includes the steps that, firstly, a high-speed ADC module receives medium-frequency echo signal of radar and performs digital processing to the signal to acquire medium-frequency digital echo signal; secondly, an FPGA module performs digital orthogonal down-conversion processing to the medium-frequency digital echo signal, acquires baseband data and stores the same in an EMIF(expansion memory interface) of a DSP (digital signal processor); thirdly, the DSP module acquires the basebanddata stored at the last step, gains a weighting coefficient according to the baseband data, stores the weighting coefficient to the EMIF thereof; finally, the FPGA module reads the weighing coefficient from the EMIF of the DSP, and performs digital orthogonal down-conversion processing to the medium-frequency digital echo signal according to the weighting coefficient to acquire weighted baseband data, thereby achieving adaptive range-amplitude weighting. The system and method can guarantee fixed-point processing of echo in a heavy-clutter area without overflow, improve clutter base of remote light-clutter area, and further improve radar detection and false-alarm performance.

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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