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Moving Target Detection via Multi-IRS-Aided OFDM Radar
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  • Zahra Esmaeilbeig ,
  • Arian Eamaz ,
  • Kumar Vijay Mishra ,
  • Mojtaba Soltanalian
Zahra Esmaeilbeig
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Arian Eamaz
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Kumar Vijay Mishra
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Mojtaba Soltanalian
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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.