Multi-channel quasi-adaptive processing based on low and slow targets in complex environment

Abstract

Because there are many kinds of clutter interference in the detection of low and slow small targets, clutter suppression is always an important issue in radar signal processing. In this paper, clutter in complex environment is first analyzed based on a large amount of measured data, In theory, the clutter suppression algorithm with narrow spectral width and broad spectrum width is effectively studied: the weighted mean filter algorithm and the noise subspace algorithm, and the improved algorithm of weighted mean filter is proposed. Secondly, Multi-channel quasi-adaptive clutter suppression filter, simple and practical, can effectively suppress clutter in complex environments, and the algorithm is implemented, verified by the measured data, and confirmed good results.