Sparse-based space-time adaptive processing method and system

Abstract

The invention is applicable to the technical field of signal processing, and provides a sparse-based space-time adaptive processing method. The sparse-based space-time adaptive processing method comprises the steps: constructing a virtual space-time snapshot according to a space-time snapshot covariance matrix of a co-prime array - co-prime pulse; constructing a sparse-based space-time adaptive processing filter according to the virtual space-time snapshot; and according to the space-time adaptive processing filter, performing estimation of clutter signals to obtain a detection signal. One embodiment of the present invention provides a sparse-based space-time adaptive processing method with repetition interval of a co-prime array and a co-prime pulse. As the co-prime array can provide thecapability of a greater array aperture, and the O(MN) freedom degree can be realized by means of only M+N*1 physical sensors. Therefore, by means of the above advantages, the sparse-based space-time adaptive processing method can significantly improve the estimation accuracy of a direction of arrival (DOA), and applies the co-prime array to the space-time adaptive processor (STAP) field, thus greatly reducing the number of snapshots, and reducing the system cost.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a sparsity-based space-time adaptive processing method and system. Background technique [0002] In phased array airborne radar, STAP (Space-Time Adaptive Processor) technology can effectively suppress clutter and improve the moving target detection performance of airborne phased array radar. At home and abroad, the research on STAP initially mainly focused on two aspects: the optimal detection theory of all space-time and the clutter characteristics of airborne radar. [0003] Although STAP has superior performance, it has a large amount of calculation and high system cost, and the performance of the conventional STAP algorithm will drop sharply in a non-uniform environment. STAP algorithm and how to reduce system cost and improve resolution. In order to solve the situation that the number of samples is too small, the predecessors proposed the rank-reduce...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a sparsity-based space-time adaptive processing method and system, aiming to solve the problem that in the STAP method provided by the prior art, the clutter suppression cannot be performed when there are few training samples, resulting in The problem that the accuracy of the detected signal is not accurate

Images