Abstract
Compressed sensing for multiple input multiple output (MIMO) radar can potentially enhance spatial resolution and improve jamming noise suppression capability by making use of information about the sparse “scene.” In this paper, an efficient method for anti-jamming in MIMO chaotic radar direction finding of point-like targets is proposed. The novelty of this paper is that it capitalizes on chaotic coded waveform to construct measurement operator, which shows a low correlation with jamming noise; therefore, the proposed approach can take advantage of the sparse optimization method to suppress jamming noise of the received signals. A directional optimization algorithm based on gradient pursuit is implemented in reconstruction of the sparse “scene.” The performances of the proposed approach are evaluated via computer simulation studies and shown to outperform conventional methods.
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