Target Detection for OTFS-Aided Cell-Free MIMO ISAC System

TL;DR

This paper introduces a novel sensing-centric target detection method for OTFS-aided cell-free MIMO ISAC systems in high-speed vehicular environments, optimizing power allocation to enhance sensing SNR while maintaining communication QoS.

Contribution

It proposes a new sensing-centric approach with optimized power allocation that significantly improves target detection performance over existing communication-centric methods.

Findings

The sensing-centric scheme outperforms communication-centric methods in target detection accuracy.

Optimized power allocation enhances sensing SNR under QoS and power constraints.

Numerical results validate the effectiveness of the proposed approach.

Abstract

This letter focuses on enhancing target detection performance for a multi-user integrated sensing and communication (ISAC) system using orthogonal time frequency space (OTFS)-aided cell-free multiple-input multiple-output (MIMO) technology in high-speed vehicular environments. We propose a sensing-centric (SC) approach for target detection using communication signals with or without sensing signals. Power allocation is optimized to maximize the sensing signal-to-noise ratio (SNR) of the proposed SC scheme while ensuring a required quality-of-service (QoS) for the communication user equipment (UEs), and adhering to each access points (APs) power budget. Numerical results show that the proposed SC scheme vastly outperforms a communication-centric method that minimizes the total power consumed at the APs subject to the same constraints.