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arXiv

Target Detection in OFDM-ISAC Systems: A Multipath Exploitation Approach

作     者:Lv, Xiaohan Liu, Rang Li, Ming Liu, Qian 

作者机构:School of Information and Communication Engineering Dalian University of Technology Dalian116024 China Center for Pervasive Communications and Computing University of California IrvineCA92697 United States School of Computer Science and Technology Dalian University of Technology Dalian116024 China 

出 版 物:《arXiv》 (arXiv)

年 卷 期:2025年

核心收录:

主  题:Orthogonal frequency division multiplexing 

摘      要:This paper investigates the potential of multipath exploitation for enhancing target detection in orthogonal frequency division multiplexing (OFDM)-based integrated sensing and communication (ISAC) systems. The study aims to improve target detection performance by harnessing the diversity gain in the delay-Doppler domain. We propose a weighted generalized likelihood ratio test (GLRT) detector that effectively leverages the multipath propagation between the base station (BS) and the target. To further enhance detection accuracy, a joint optimization framework is developed for subcarrier power allocation at the transmitter and weight coefficients of the GLRT detector. The objective is to maximize the probability of target detection while satisfying constraints on total transmit power and the communication receiver’s signal-to-noise ratio (SNR). An iterative algorithm based on the majorization-minimization (MM) method is employed to address the resulting non-convex optimization problem. Simulation results demonstrate the efficacy of the proposed algorithm and confirm the benefits of multipath exploitation for target detection in OFDM-ISAC systems under multipath-rich environments. Copyright © 2025, The Authors. All rights reserved.

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