ISAC constant modulus waveform design based on multi-target fair sensing

被引：0
|
作者：
Shi, Mingli [1 ]
Li, Xiaohui [1 ]
Lyu, Siting [1 ]
机构：
[1] School of Teleommunications Engineering, Xidian University, Xi’an
来源：
Tongxin Xuebao/Journal on Communications | 2024年 / 45卷 / 10期
基金：
中国国家自然科学基金;
关键词：
alternating direction method of multipliers; constant modulus waveform design; integrated sensing and communication; received echo SNR; target illumination power;
D O I：
10.11959/j.issn.1000-436x.2024173
中图分类号：
学科分类号：
摘要：
To communicate and sense simultaneously in the integrated sensing and communication system, for the fair sensing of multiple targets and the error-free transmission of multi-user symbols, a ISAC constant modulus waveform design based on multi-target fair sensing was proposed. Considering the error free transmission of multi-user data symbols and the constant modulus constraint of waveform, an integrated sensing and communication waveform design model with joint waveform and signal scaling factor optimization was formulated. By using an alternate optimization algorithm, the coupling of waveform and signal scaling factor variables in constraint conditions was decoupled. The convex upper bounds of the non-convex expression of target illumination power and received echo SNR in the original sub-problem were obtained by the majorization-minimization algorithm, and then the constant modulus constraints for transmitted waveform was dealt with by the alternating direction method of multipliers algorithm. The simulation results show that compared with the waveform design method which maximizes the total target illumination power and the SNR of echo, the proposed waveform design method based on maximizing the minimum target illumination power only has a 3 dB performance loss of echo SNR. However, it can achieve better multi-target sensing fairness and realize error-free transmission of communication data symbols. © 2024 Editorial Board of Journal on Communications. All rights reserved.
引用
收藏
页码：31 / 40
页数：9
相关论文
共 20 条
  • [1] ZHOU Y Q, LIU L, WANG L, Et al., Service-aware 6G: an intelligent and open network based on the convergence of communication, computing and caching, Digital Communications and Networks, 6, 3, pp. 253-260, (2020)
  • [2] QI Y L, ZHOU Y Q, LIU Y F, Et al., Traffic-aware task offloading based on convergence of communication and sensing in vehicular edge computing, IEEE Internet of Things Journal, 8, 24, pp. 17762-17777, (2021)
  • [3] Research report on integrated communication perception technology, (2021)
  • [4] LIU F, CUI Y H, MASOUROS C, Et al., Integrated sensing and communications: toward dual-functional wireless networks for 6G and beyond, IEEE Journal on Selected Areas in Communications, 40, 6, pp. 1728-1767, (2022)
  • [5] LIU F, ZHOU L F, MASOUROS C, Et al., Toward dual-functional radar-communication systems: optimal waveform design, IEEE Transactions on Signal Processing, 66, 16, pp. 4264-4279, (2018)
  • [6] WANG X Y, FEI Z S, ZHENG Z, Et al., Joint waveform design and passive beamforming for RIS-assisted dual-functional radar-communication system, IEEE Transactions on Vehicular Technology, 70, 5, pp. 5131-5136, (2021)
  • [7] XIAO Z Q, ZENG Y., Full-duplex integrated sensing and communication: waveform design and performance analysis, Proceedings of the 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1-5, (2021)
  • [8] LIU R, LI M, LIU Q, Et al., SNR/CRB-constrained joint beamforming and reflection designs for RIS-ISAC systems, IEEE Transactions on Wireless Communications, 23, 7, pp. 7456-7470, (2023)
  • [9] HUA M, WU Q Q, HE C, Et al., Joint active and passive beamforming design for IRS-aided radar-communication, IEEE Transactions on Wireless Communications, 22, 4, pp. 2278-2294, (2023)
  • [10] PRASOBH S R S, CHEPURI S P, ELDAR Y C., Beamforming in integrated sensing and communication systems with reconfigurable intelligent surfaces, IEEE Transactions on Wireless Communications, 23, 5, pp. 4017-4031, (2024)
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