Doubly Constrained Waveform Optimization for Integrated Sensing and Communications

被引:1
|
作者
Ni, Zhitong [1 ]
Zhang, Andrew Jian [1 ]
Liu, Ren-Ping [1 ]
Yang, Kai [2 ]
机构
[1] Univ Technol, Sch Elect & Data Engn, Sydney, NSW 2007, Australia
[2] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
基金
澳大利亚研究理事会;
关键词
integrated sensing and communication (ISAC); radar communications; waveform optimization; threshold constraint; RADAR; COEXISTENCE; DESIGN;
D O I
10.3390/s23135988
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper investigates threshold-constrained joint waveform optimization for an integrated sensing and communication (ISAC) system. Unlike existing studies, we employ mutual information (MI) and sum rate (SR) as sensing and communication metrics, respectively, and optimize the waveform under constraints to both metrics simultaneously. This provides significant flexibility in meeting system performance. We formulate three different optimization problems that constrain the radar performance only, the communication performance only, and the ISAC performance, respectively. New techniques are developed to solve the original problems, which are NP-hard and cannot be directly solved by conventional semi-definite programming (SDP) techniques. Novel gradient descent methods are developed to solve the first two problems. For the third non-convex optimization problem, we transform it into a convex problem and solve it via convex toolboxes. We also disclose the connections between three optimizations using numerical results. Finally, simulation results are provided and validate the proposed optimization solutions.
引用
收藏
页数:11
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