ZTE Communications ›› 2024, Vol. 22 ›› Issue (3): 4-12.DOI: 10.12142/ZTECOM.202403002

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Kullback-Leibler Divergence Based ISAC Constellation and Beamforming Design in the Presence of Clutter

TANG Shuntian, WANG Xinyi(), XIA Fanghao, FEI Zesong   

  1. Beijing Institute of Technology, Beijing 100081, China
  • Received:2024-07-02 Online:2024-09-25 Published:2024-09-29
  • About author:TANG Shuntian received his BE degree in electronic engineering from Beijing Institute of Technology (BIT), China in 2024. He is currently pursuing his master’s degree with BIT. His research interests include integrated sensing and communications and AFDM modulation.
    WANG Xinyi ( bit_wangxy@163.com) received his BE and PhD degrees in electronic engineering from Beijing Institute of Technology (BIT), China in 2017 and 2022, respectively. He is currently a postdoctoral researcher at BIT. He was a recipient of the Best Paper Award in WOCC 2019 and has been recognized as an exemplary reviewer for the IEEE Transactions on Communications. His research interests include integrated sensing and communications, UAV communications, intelligent reflecting surface, polar codes, and OTFS modulation. He has published over 50 journals and conference papers in these areas.
    XIA Fanghao received his BS degree in electronic engineering from Beijing Institute of Technology (BIT), China in 2021. He is currently pursuing his PhD degree with the Research Institute of Communication Technology, BIT. His research interests include integrated sensing and communications, intelligent reflection surface, and physical layer security.
    FEI Zesong received his PhD degree in electronic engineering from Beijing Institute of Technology (BIT), China in 2004. He is currently a professor with the Research Institute of Communication Technology, BIT, where he is involved in the design of the next generation high-speed wireless communication. He is the chief investigator with the National Natural Science Foundation of China. His research interests include wireless communications and multimedia signal processing. He is a senior member of the Chinese Institute of Electronics and China Institute of Communications.
  • Supported by:
    National Key R&D Program of China(2021YFB2900200);National Natural Science Foundation of China(U20B2039);China Postdoctoral Science Foundation(2023TQ0028)

Abstract:

Integrated sensing and communication (ISAC) is regarded as a pivotal technology for 6G communication. In this paper, we employ Kullback-Leibler divergence (KLD) as the unified performance metric for ISAC systems and investigate constellation and beamforming design in the presence of clutters. In particular, the constellation design problem is solved via the successive convex approximation (SCA) technique, and the optimal beamforming in terms of sensing KLD is proven to be equivalent to maximizing the signal-to-interference-plus-noise ratio (SINR) of echo signals. Numerical results demonstrate the tradeoff between sensing and communication performance under different parameter setups. Additionally, the beampattern generated by the proposed algorithm achieves significant clutter suppression and higher SINR of echo signals compared with the conventional scheme.

Key words: constellation design, clutter suppression, integrated sensing and communications, Kullback-Leibler divergence