Sparsity-based MIMO radar imaging method

The matched filter, as a popular method, has been widely used to image a target in the radar society. Nevertheless, there exists an important difficulty that the resolution of the image produced by the filter can be changed with the variation of the target's distance. In this paper a distinct imaging algorithm through the exploitation of the sparsity of the received echoes is presented for the multiple-input multiple-output (MIMO) radar imaging application against the difficulty involved in the matched filter. Furthermore, the constrained conditions for the array size and element interval are also presented. Different from the imaging algorithm based on the matched filter, the iterative greedy algorithm is used to image a target in this paper. Due to the exploitation of the sparsity of the received echoes, the cross-range resolution of the proposed algorithm can be higher over the given spatial scope. Numerical simulations are provided for testing our imaging algorithm.