Radar Target Location Based on Compressive Sensing Technique

In order to reduce the sampling rate and efficiently make use of samplings in radar target estimation, the paper proposed a novel MIMO radar target localization algorithm based on compressive sensing. It firstly divides the target area into grids which is assumed contained the target. A grid is denoted 1 if it includes the target, otherwise, it is denoted 0. The entire region thus is surrogated by a sparse vector comprising number 0 and 1, turning the problem of target location into a sparse vector-reconstruction problem. This paper then establishes a target echo signal model of MIMO radar in the grid. Few samples is obtained by use of compressive sensing, they can reconstruct the radar target location sparse vector by use of adaptive matching pursuit algorithm (SAMP). Solving the reconstructed matrix yields the problem of radar target location. The effectiveness of the proposed algorithm is verified by use of simulation experiments.