Abstract

A joint two-dimensional (2-D) angle and Doppler frequency estimation algorithm has been investigated for the bistatic multiple-input multiple-output (MIMO) radar with co-prime arrays (CPAs). The key idea is to extend the snapshot uniform sampling to the co-prime sampling and further obtain more virtual snapshots to improve the Doppler frequency estimation. Meanwhile, the covariance matrices of target parameter vectors, which are extracted via the trilinear decomposition (TD), are rearranged as Vandermonde structures to estimate the parameters. In view of more virtual elements and virtual snapshots, our proposed algorithm can achieve better estimation performance than the conventional methods for the bistatic MIMO radar with uniform linear arrays (ULAs) and the same algorithm except for the uniform sampling for the bistatic co-prime MIMO radar. Numerical simulations verify the effectiveness of the proposed algorithm.

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