Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar

• Published in: IEEE transactions on signal processing Vol. 65; no. 5; pp. 1116 - 1129
• Main Authors: Guolong Cui, Xianxiang Yu, Carotenuto, Vincenzo, Lingjiang Kong
• Format: Journal Article
• Language: English
• Published: IEEE 01.03.2017
• Subjects: Convergence; Interference; Linear matrix inequalities; MIMO; MIMO radar; Multiple-input multiple-output (MIMO); Signal processing algorithms; signal to interference plus noise ratio (SINR); Signal to noise ratio; signal-dependent interferences; space-time receive filter (STRF); space-time transmit code (STTC)
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2016.2633242

This paper deals with the design of multiple-input multiple-output radar space-time transmit code (STTC) and space-time receive filter (STRF) to enhance moving targets detection in the presence of signal-dependent interferences. An iterative procedure, whose convergence is analytically proved, is devised to maximize the Signal to interference plus noise ratio (SINR) accounting for both a similarity constraint and a constant modulus requirement on the probing waveform. Each iteration of the algorithm involves the solution of hidden convex problems. Specifically, both a convex problem (whose solution is provided in closed form) and a set of fractional programming problems, that can be globally solved in polynomial time via the Dinkelback's procedure, are settled. The computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. In particular, the proposed technique provides a monotonic SINR improvement without limitations on the size of the similarity constraint and ensures convergence to a stationary point filling these important gaps in the open literature. Besides, the reported results highlight that the new devised procedure outperforms both in the optimized SINR value and the computational complexity than the available counterparts.