Joint Design of Binary Probing Sequence Sets and Receive Filter Banks for MIMO PMCW Radar

• Published in: IEEE transactions on signal processing Vol. 72; pp. 1 - 14
• Main Authors: Chen, Yutao, Cheng, Yuanbo, Lin, Ronghao, So, Hing Cheung, Li, Jian
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Binary probing sequence (BPS) sets; Continuous radiation; Costs; cyclic optimization; Filter banks; joint transmitter-receiver design; low correlation zone (LCZ); Measurement; MIMO communication; mismatched receive filter (MMRF) banks; multiple-input multiple-output (MIMO) radar; phase-modulated continuous wave (PMCW) radar; Radar; Radar antennas; Sidelobes; Signal to noise ratio; Statistical methods; Transmitting antennas
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2024.3375646

The joint design of binary probing sequence (BPS) sets and receive filter banks is critical to the performance of low-cost multiple-input multiple-output (MIMO) phase-modulated continuous wave (PMCW) radar for autonomous driving applications. Compared to the commonly used matched receive filter banks in MIMO PMCW radar, mismatched receive filter (MMRF) banks can attain much lower sidelobe levels due to its higher degrees-of-freedom, at the cost of slight signal-to-noise ratio (SNR) reduction. We focus herein on using computational methods, with statistically independent random initializations, to jointly design BPS sets and MMRF banks with ample diversity and arbitrary lengths. Our approach specifically caters to the needs arising from autonomous driving applications and has not been studied before. Theoretical analyses of the proposed algorithms, including convergence properties and losses of SNR due to mismatched filtering, are provided. The effectivenesses of our methods is also demonstrated via numerical examples.