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2024 47th International Conference on Telecommunications and Signal Processing (TSP)

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The Impact of Swerling Models on SNR and Path Loss in RIS-Assisted Monostatic Radar under NLoS Conditions

In this paper, the path loss and signal-to-noise ratio (SNR) for target detection problems where a reconfigurable intelligent surface (RIS) assists a monostatic radar for surveillance of targets in a non-line-of-sight (NLoS) scenario is derived. The SNR performance of RIS-assisted radars depends not only on RIS size and placement but also on the radar’s operating frequency, the distance between RIS and radar, and the distance between RIS and target. We examine the influence of various Swerling models (0 till V) on SNR and path loss performance. The non-fluctuating targets, modeled as Swerling-0/V targets, display a consistent and smooth curve as their radar cross-section (RCS) is invariant in all directions, outperforming fluctuating targets. The Swerling-III/IV targets manifest fewer fluctuations and perform better than Swerling-I/II targets in terms of SNR and path loss, a phenomenon attributed to the presence of a single dominant scattering point. We have also shown the angles at which RIS-assisted radar performs the best and the improvement in target detection through RIS-assisted radar compared with a conventional radar for the case when it is located at these angles.

Salman Liaquat
Universiti Sains Malaysia
Malaysia

Ijaz Haider Naqvi
Lahore University of Management Sciences
Pakistan

Nor Muzlifah Mahyuddin
Universiti Sains Malaysia
Malaysia

Naveed Ul Hassan
Lahore University of Management Sciences
Pakistan

 

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