Adaptive clutter suppression moving-target signal processing technology and realizing method

Abstract

The invention relates to an adaptive clutter suppression moving-target signal processing method, which is mainly applicable to moving-target signal detection in a clutter environment in the field of radar detection. The adaptive clutter suppression moving-target signal processing method comprises processing flows as follows: firstly, dynamically matching pulse-pressed signals; carrying out primary compensation processing on the signals and sending the processed signals into narrow-band filter sets; respectively carrying out distance unit constant false-alarm processing on the signals output by each filter set, and obtaining a detecting result by selecting large output; and calculating an FIR (Finite Impulse Response) coefficient which uses a speed center as a main peak of a filter by using a given movement speed of a target which is focused on, and changing the coefficient of the filter in a adaptive manner. With the adoption of the method disclosed by the invention, the clutter is restrained obviously, the signal to noise ratio of the movement target is improved through the adaptive method, so that the signal detection performance is finally improved. Furthermore, application of VHDL (VHSIC Hardware Description Language) in FPGA (Field Programmable Gate Array) is completely realized. The method disclosed by the invention has wide application prospect in fields such as the radar detection.

Description

technical field [0001] The invention relates to an adaptive clutter suppression moving target signal processing technology and a realization method. It belongs to the moving target signal processing technology in the clutter environment of the radar detection field, and uses an adaptive narrowband filter bank to realize the signal detection of a high-performance radar detection system. Background technique [0002] In the target signal detection and parameter estimation of the radar detection system, it is necessary to detect various flying, moving and stationary targets, but the radar receiving signal not only contains echo signals from moving targets, but also echo signals from ground objects, clouds and rain, and interference. . The radar detection system needs to detect the target from the clutter that is much stronger than the target of interest, so it must be designed as a system that fully adaptively matches the target of interest to achieve effective detection of th...

AI Technical Summary

Problems solved by technology

[0003] Currently existing technologies for target detection in clutter and interference environments generally use a fixed form based on the FFT method to filter out clutter and interference. Because it cannot effectively match the target spectrum characteristics, it cannot obtain high Performance Clutter and Interference Performance

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