Targets Number Detection for Wideband Radar Based on Two-Dimensional Sparse Structure Model

A targets number detection method for conventional wide-band radar is proposed in this paper. Firstly, the echo signals received by radar at different slow-time are viewed as multiple measurement vectors (MMV) model. Based on the MMV model, the target echo sparse 2D spectrum in range-azimuth domain is reconstructed by simultaneous orthogonal matching pursuit (S-OMP) algorithm. Then, the detection threshold is determined according to the signal-to-noise ratio, and the binary spectrum of the echo data is obtained under this threshold. Finally, the target sorties are identified in the spectrogram by using the method of area labeling. Experimental results based on both simulated and real data demonstrated that the proposed method utilizes the two-dimensional information of the target and can improve the accuracy of sorties recognition. In addition, the proposed method and can realize the target sortie recognition from under-sampled echo data.