Sparse targets detection based on threshold orthogonal matching pursuit algorithm

Compressed sensing (CS) technique has been widely applied to sparse signal recovery to obtain high quality reconstruction of original signal. With the increasing sampling rate of Analog to Digital Converter(ADC), there are more and more signals in radar are sparse, how to successfully detect these targets is a hot topic. The orthogonal match pursuit (OMP) method is an efficient method to recovery sparse signal, but the main drawback of OMP algorithm is that the number of nonzero components need to be given in advance. In order to make the algorithm suit to common problem in radar signal detection, a revised OMP algorithm based on threshold is proposed. The threshold OMP (TOMP) algorithm is applicable to sparse radar targets detection in one pulse sample case, and numerical simulations have shown that the TOMP detection algorithm possess a better performance than classical match filter (MF). And the TOMP algorithm is an efficient method to detect sparse radar targets when the targets number is unknown.