Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

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

Shivani Singh, Amudheesan Nakkeeran, Prem Singh, Ekant Sharma, Jyotsna Bapat

TL;DR

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.

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.

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

TL;DR

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.

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.
Paper Structure (9 sections, 23 equations, 2 figures, 1 algorithm)

This paper contains 9 sections, 23 equations, 2 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. SYSTEM MODEL
  3. ISAC-OTFS Transmitter Structure:
  4. ISAC-OTFS Channel Model and Precoder Design
  5. ISAC-OTFS Receiver Structure
  6. ISAC-OTFS MAPRT Detector
  7. Power Allocation for ISAC-OTFS System
  8. Numerical Results
  9. Conclusion

Figures (2)

  • Figure 1: Illustration of a cell-free MIMO ISAC-OTFS system.
  • Figure 2: Target detection probability $\left(P_d\right)$ versus (a) variance of the target's RCS $\left(\sigma_{\textsf{rcs}}^2\right)$, for $N_{rx} = 2,~ N_{ue} = 2$; (b) Number of UEs $\left(N_{ue}\right)$, for $N_{rx} = 2$; (c) Number of receive APs $\left(N_{rx}\right)$, for $N_{ue} = 2$. For all plots, $M = 16,~ N = 8,~ L=4,~ N_{tx} = 8, P_{fa} = 10^{-5}$.