Abstract
ABSTRACT This letter deals with the range-Doppler image reconstruction problem in co-located multiple input multiple output (MIMO) noise radar, where the waveform diversity is applied not only among different transmit channels but also among different pulse repetition intervals (PRI). The transmit channel diversity and pulse diversity lead to high range-Doppler sidelobes, which would cause the weak target to be overwhelmed by strong target or clutters. In this letter, we propose a sparse recovery-based approach to deal with the range-Doppler image reconstruction problem in collocated MIMO noise radar, by exploiting the 2D-block sparsity of range-Doppler profiles to enhance the range-Doppler image reconstruction performance and its robustness to clutter. Simulation results show that the range-Doppler image reconstruction performance of the proposed method outperforms traditional methods, especially when noise and strong clutter exist.
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