Joint Transceiver Design for MIMO Radar with One-Bit DACs and ADCs

• Published in: IEEE International Conference on Communications (2003) pp. 563 - 568
• Main Authors: Lin, Qi, Shen, Hong, Xu, Wei, Zhao, Chunming, You, Xiaohu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.06.2024
• Subjects: Benchmark testing; Measurement; MIMO radar; Multiple-input multiple-output (MIMO) radar; one-bit analog-to-digital converters (ADCs); one-bit digital-to-analog converters (DACs); Power demand; Radar; Simulation; target detection; transceiver optimization; Transceivers
• ISSN: 1938-1883
• DOI: 10.1109/ICC51166.2024.10622339

This paper investigates the joint design of transmit waveform and receive filter for a collocated multipleinput multiple-output (MIMO) radar, where one-bit digitalto-analog converters (DACs) and one-bit analog-to-digital converters (ADCs) are employed to reduce the hardware cost and power consumption. We first derive a novel signal-toquantization-plus-interference-plus-noise ratio (SQINR) metric via a careful theoretical analysis to accurately characterize the one-bit MIMO radar performance. Then, we formulate a onebit transceiver optimization problem by maximizing the SQINR objective subject to binary DAC constraints. To handle the complicated mixed-integer problem, we propose an efficient penalty-based majorization-minimization (PMM) algorithm with guaranteed convergence. As validated via simulations, the proposed algorithm achieves a noticeable performance gain over the existing benchmark scheme based on a low input signal-to-noise/interference-to-noise ratio (LIS) assumption.