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ZHANG Zhuoyu, GONG Pengcheng, YIN Chen, et al. Research on joint design of transceiver for MIMO radar-communication integration under extended clutter[J]. Journal of Radars, in press. doi: 10.12000/JR25035
Citation: ZHANG Zhuoyu, GONG Pengcheng, YIN Chen, et al. Research on joint design of transceiver for MIMO radar-communication integration under extended clutter[J]. Journal of Radars, in press. doi: 10.12000/JR25035
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Research on Joint Design of Transceiver for MIMO Radar-communication Integration under Extended Clutter

DOI: 10.12000/JR25035 CSTR: 32380.14.JR25035
  • 1.

    School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430205, China

  • 2.

    Hubei Key Laboratory of Intelligent Robot, Wuhan 430205, China

  • 3.

    School of Electrical Computer and Telecommunications Engineering University of Wollongong, Wollongong NSW2522, Australia

  • 4.

    School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China

Funds:  The Central Government Guided Local Funds for Science and Technology Development (2024CSA080), The National Natural Science Foundation of China (62071172), The Hubei Provincial Natural Science Foundation of China (2023AFA035), The Plan Innovation of Hubei Province(2024BAA005), The Scientific Research Foundation of Wuhan Institute of Technology (K2023117), The Graduate Education Innovation Foundation of Wuhan Institute of Technology (CX2024168)
More Information
  • Corresponding author: GONG Pengcheng, gpcheng03@163.com; WU Yuntao, ytwu@sina.com
  • Received Date: 2025-02-21
  • Rev Recd Date: 2025-07-06
    • Available Online: 2025-07-11
    Abstract
  • In light of challenges related to weak target detection and limited communication performance in extended clutter environments, this paper proposes a joint design of a transmit waveform and receive filter within a Multiple-Input Multiple-Output (MIMO) Radar Communication Integration (RCI) system, considering the uncertainty in the extended Target Impulse Response (TIR). Due to difficulties in accurately determining the extended TIR, an objective function was formulated to maximize the minimum Signal-to-Interference-plus-Noise Ratio (SINR) within a set of sphere TIR uncertainties. To ensure reliable information transmission for each user and to achieve desirable properties of the ambiguity function for the transmission waveform, per-user interference constraints were imposed, along with constraints on waveform similarity and peak-to-average ratio. A cyclic optimization algorithm was introduced to address the nonconvex quadratic constrained fractional programming problem. The optimal receive filter was first derived using a generalized Rayleigh quotient, and the nonconvex part of the original NP-Hard problem was then transformed into a convex problem using the Lagrange duality principle and subsequently solved by the semidefinite optimization method. Also, the convergence and computational complexity of the proposed algorithm are thoroughly discussed. Furthermore, the simulation results confirmed that the algorithm effectively enhances SINR in extended clutter environments and fulfills the communication needs of multiple users.

     

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    WU Wenjun, TANG Bo, TANG Jun, et al. Waveform design for dual-function radar-communication systems in clutter[J]. Journal of Radars, 2022, 11(4): 570–580. doi: 10.12000/JR22105.
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