4.7 Article

Transmit Sequence Design for Dual-Function Radar-Communication System With One-Bit DACs

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 20, 期 9, 页码 5846-5860

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3070586

关键词

Radar; Precoding; Downlink; Direction-of-arrival estimation; Convex functions; Wireless communication; Radar antennas; Dual-function radar-communication (DFRC); one-bit DACs; alternating direction method of multipliers (ADMM); accelerated primal gradient (APG)

资金

  1. National Natural Science Foundation of China [62001084, 62031007, 61771316]
  2. Postdoctoral Innovation Talents Support Program of China [BX20190062]
  3. Chinese Postdoctoral Science Foundation [232908]
  4. Fundamental Research Funds of Central Universities [ZYGX2019J005]
  5. Guangdong Basic and Applied Basic Research Foundation [2020A1515010410]
  6. Guangdong Special Support Program

向作者/读者索取更多资源

This paper investigates the transmit sequence design for a DFRC system equipped with one-bit DACs, proposing two design methods and conducting numerical simulations to demonstrate their effectiveness.
In this paper, the problem of transmit sequence design for a dual-function radar-communication (DFRC) system equipped with one-bit digital-to-analog converters (DACs) is investigated. More specifically, a nonconvex problem is formulated by minimizing the symbol mean-square error, while ensuring the target localization performance for radar. A direct one-bit sequence design tackled by an alternating minimization (AM) approach, which involves a simple unconstrained quadratic sub-problem with closed-form solution and a quadratically constrained nonconvex sub-problem tackled by the alternating direction method of multipliers (ADMM) algorithm, is developed. The solutions of primal variables under the ADMM framework are provided and the convergence is discussed. Additionally, an indirect but computationally more efficient design, which is realized by transmit beamforming based on an accelerated primal gradient (APG) method, is presented. For better understanding of this design, both the Cramer-Rao Bound (CRB) and symbol error probability of the resulting beamformer with one-bit quantization using the Bussgang theorem are analyzed. Numerical simulations are provided to demonstrate the effectiveness of the proposed schemes.

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