Compressive sensing in MTI processing

Based on the sparsity idea, the recently developed technique of compressive sensing (CS) is shown to be able to reduce significantly the need for huge amount of data and high sampling rates. On the other hand, moving target indication (MTI) processing has long been known in the traditional pulse radars to be able to detect weak signals of moving targets. The main drawback of the conventional approaches is the lack of accuracy in Doppler estimation; most of them suffer from low resolution to separate multiple targets from each other with low number of pulses. In this paper, we employ the CS technique to do the MTI processing in a radar system which employs measurements (echo pulses) efficiently to detect the target and estimate its Doppler. The two stages of the proposed algorithm, calculate the measurement matrix and perform the detection and estimation procedure. The simulations verify the proposed method, indicating the effectiveness of the CS technique in various applications.