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Compressed-Domain Detection and Estimation for Colocated MIMO Radar

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Document pages: 13 pages

Abstract: This paper proposes compressed domain signal processing (CSP) multiple inputmultiple output (MIMO) radar, a MIMO radar approach that achieves substantialsample complexity reduction by exploiting the idea of CSP. CSP MIMO radarinvolves two levels of data compression followed by target detection at thecompressed domain. First, compressive sensing is applied at the receiveantennas, followed by a Capon beamformer which is designed to suppress clutter.Exploiting the sparse nature of the beamformer output, a second compression isapplied to the filtered data. Target detection is subsequently conducted byformulating and solving a hypothesis testing problem at each grid point of thediscretized angle space. The proposed approach enables an 8-fold reduction ofthe sample complexity in some settings as compared to a conventional compressedsensing (CS) MIMO radar thus enabling faster target detection. Receiveroperating characteristic (ROC) curves of the proposed detector are provided.Simulation results show that the proposed approach outperforms recovery-basedcompressed sensing algorithms.

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