Journal
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume 57, Issue 1, Pages 623-635Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAES.2020.3027103
Keywords
MIMO radar; Radar cross-sections; Receivers; Transmitters; MIMO communication; Signal to noise ratio; Distributed multiple-input multiple-output (MIMO) radar; GLRT detection; MIMO channel estimation; optimal receive signal combining; optimal transmit strategy; phased-array (PA) radar; signal-to-noise ratio (SNR) maximization; swerling target models
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A distributed MIMO radar scheme with joint optimal transmit and receive signal combining method is proposed in this work, outperforming popular combining methods of MIMO radar discussed in the literature. The proposed scheme performs similarly to ideal PA radar in non-fluctuating target scenarios, and outperforms PA radar at high SNR in fluctuating target scenarios.
Multiple-input multiple-output (MIMO) radar systems are popular for their ability to mitigate the target radar cross section fluctuations and null Doppler. However, MIMO radar fundamentally suffers from a notable signal-to-noise ratio (SNR) loss compared to an ideal phased-array (PA) radar. In order to overcome this drawback, a distributed MIMO radar scheme with joint optimal transmit and receive signal combining method is proposed in this work. In view of the optimality, the proposed scheme outperforms the most popular combining methods of MIMO radar addressed in the literature. Also, the proposed scheme performs same as the ideal PA radar in case of the nonfluctuating target. In case of fluctuating targets, the proposed scheme outperforms PA radar at high SNR.
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