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Moving Target Detection via Multi-IRS-Aided OFDM Radar

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posted on 2023-02-24, 16:10 authored by Zahra EsmaeilbeigZahra Esmaeilbeig, Arian EamazArian Eamaz, Kumar Vijay Mishra, Mojtaba SoltanalianMojtaba Soltanalian

An intelligent reflecting surface (IRS) consists of passive reflective elements capable of altering impinging waveforms. The IRS-aided radar systems have recently been shown to improve detection and estimation performance by exploiting the target information collected via non-line-of-sight paths. However, the waveform design problem for an IRS-aided radar has remained  relatively unexplored. In this paper, we consider a multi-IRS-aided orthogonal frequency-division multiplexing (OFDM) radar and study the theoretically achievable accuracy of target detection. In addition, we jointly design the OFDM signal and IRS phase-shifts to optimize the target detection performance via an alternating optimization approach. To this end, we formulate the IRS phase-shift design problem as a unimodular bi-quadratic program which is tackled by a computationally cost-effective approach of power-method-like iterations. Numerical experiments illustrate that our proposed joint design of IRS phase-shifts and OFDM code improves the detection performance in comparison with  conventional OFDM radar. 


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University of Illinois at Chicago

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  • United States of America