Compressive sensing in radar imaging

In a conventional radar system, the sampling rate of images is constrained by Nyquist rate. High sampling rate, fast processing speed, and large capacity of memories could be challenges to this radar system. Radar imaging based on the concept of compressive sensing (CS) is a potential solution. According to CS, sparse or compressible signals can be reconstructed from a small set of their linear measurement. In this paper, we briefly introduce the principle of CS at first. Then we analyse its theoretical scheme in radar imaging and present the numerical simulation results of 1D target detection and 2D radar imaging. This paper concludes with a short discussion and conclusion.