压缩感知理论基于信号稀疏性, 将对信号采样转换为对信息自由度的采样, 可大大降低采样率.
而将压缩感知理论应用于雷达成像时有望在以下几个方面得到改善: 增强成像性能 …

Compressive Sensing (CS) theory, based on the sparsity of interested signal, samples
degree-of-freedom of signal. CS is expected to improve the performance of imaging radar in …

A novel multitask compressive sensing (MtCS)-based method for multi-view radar automatic
target recognition is presented in the paper. The sparse representation vectors recovered …

A 2-D Inverse synthetic aperture radar (ISAR) imaging method is proposed, which only
requires a short period of time for target observation. Typically, a long period of observing …

The aim of this paper is to identify a classifier that can be used to eliminate the effects of bird
movements on tracks of air targets for increasing safety level of radar detections. In order to …

This paper proposes a two-dimensional (2-D) inverse synthetic aperture radar (ISAR)
imaging method with nonuniformly obtained angle samples. A one-dimensional (1-D) radar …

One of the major issues in multifunction radar is the allocation of time resources to maximize
the ability of the radar. If jet engine modulation (JEM) is analyzed correctly in an insufficient …