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

TL;DR

This paper presents a novel multipath exploitation approach for target detection in OFDM-ISAC systems, utilizing a weighted GLRT detector and joint power allocation to improve detection performance in multipath-rich environments.

Contribution

It introduces a weighted GLRT detector combined with a joint optimization framework for power allocation, enhancing target detection in OFDM-ISAC systems by exploiting multipath diversity.

Findings

Proposed a weighted GLRT detector for multipath exploitation.

Developed an iterative MM-based algorithm for joint optimization.

Simulation confirms improved detection performance in multipath environments.

Abstract

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.