Performance Bounds for Passive Sensing in Asynchronous ISAC Systems

被引:0
作者
Zhao, Jingbo [1 ]
Lu, Zhaoming [1 ]
Zhang, J. Andrew [2 ]
Li, Weicai [1 ]
Xiong, Yifeng [1 ]
Han, Zijun [3 ]
Wen, Xiangming [1 ]
Gu, Tao [4 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
[2] Univ Technol Sydney, Sch Elect & Data Engn, Sydney, NSW 2007, Australia
[3] Peking Univ, Sch Comp Sci, Beijing 100871, Peoples R China
[4] Macquarie Univ, Sch Comp, N Ryde, NSW 2109, Australia
基金
北京市自然科学基金;
关键词
Sensors; Clocks; Estimation; Delays; Vectors; Receivers; Transmitters; Integrated sensing and communications (ISAC); Cram & eacute; r-Rao bound (CRB); passive sensing; clock asynchronism; LOCALIZATION; RADAR; COMMUNICATION;
D O I
10.1109/TWC.2024.3434704
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Sensing in Integrated Sensing and Communications (ISAC) systems with clock asynchronism between the transmitter and receiver poses significant challenges. Understanding the fundamental limits of sensing performance in such setups, which remain largely unknown, is crucial. This paper investigates the sensing performance bounds in the presence of clock asynchronism. In both single-carrier and multi-carrier models, we derive the Cram & eacute;r-Rao bounds (CRB) for estimating dynamic channel path parameters including angle of arrival, delay, and complex gain sequence (CGS). Through mathematical analyses and numerical simulations, we conduct a comprehensive study on how these bounds depend on various system parameters and the impact of clock asynchronism. Our findings highlight the degradation of parameter estimation performance due to clock asynchronism and reveal low-accuracy zones for CGS estimation in strong-line-of-sight scenarios. Additionally, we observe asymptotic mitigation in performance degradation with larger bandwidth, providing valuable insights for system design and optimization.
引用
收藏
页码:15872 / 15887
页数:16
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