RIS-Aided Bistatic Radar for Rapid NLOS Sensing in the Teraharetz Band

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Hauptverfasser: Ilgac, Furkan H., Cisija, Emrah, Ahmed, Aya Mostafa, Keskin, Musa Furkan, Sezgin, Aydin, Wymeersch, Henk
Format: Preprint
Veröffentlicht: 2024
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author Ilgac, Furkan H.
Cisija, Emrah
Ahmed, Aya Mostafa
Keskin, Musa Furkan
Sezgin, Aydin
Wymeersch, Henk
author_facet Ilgac, Furkan H.
Cisija, Emrah
Ahmed, Aya Mostafa
Keskin, Musa Furkan
Sezgin, Aydin
Wymeersch, Henk
contents In this paper, we investigate a non-lineof-sight (NLOS) sensing problem at terahertz frequencies. To be able to observe the targets shadowed by a blockage, we propose a method using reconfigurable intelligent surfaces (RIS). We employ a bistatic radar system and scan the obstructed area with RIS using hierarchical codebooks (HCB). Moreover, we propose an iterative maximum likelihood estimation (MLE) scheme to yield the optimum sensing accuracy, converging to Cramer-Rao lower bound (CRLB). We take band-specific effects such as diffraction and beam squint into account and show that these effects are relevant factors affecting localization performance in RIS-employed radar setups. The results show that under NLOS conditions, the system can still localize all the targets with very good accuracy using the RIS. The initial estimates obtained by the HCBs can provide centimeter-level accuracy, and when the optimal performance is needed, at the cost of a few extra transmissions, the proposed iterative MLE method improves the accuracy to sub-millimeter accuracy, yielding the position error bound.
format Preprint
id arxiv_https___arxiv_org_abs_2408_08096
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle RIS-Aided Bistatic Radar for Rapid NLOS Sensing in the Teraharetz Band
Ilgac, Furkan H.
Cisija, Emrah
Ahmed, Aya Mostafa
Keskin, Musa Furkan
Sezgin, Aydin
Wymeersch, Henk
Signal Processing
In this paper, we investigate a non-lineof-sight (NLOS) sensing problem at terahertz frequencies. To be able to observe the targets shadowed by a blockage, we propose a method using reconfigurable intelligent surfaces (RIS). We employ a bistatic radar system and scan the obstructed area with RIS using hierarchical codebooks (HCB). Moreover, we propose an iterative maximum likelihood estimation (MLE) scheme to yield the optimum sensing accuracy, converging to Cramer-Rao lower bound (CRLB). We take band-specific effects such as diffraction and beam squint into account and show that these effects are relevant factors affecting localization performance in RIS-employed radar setups. The results show that under NLOS conditions, the system can still localize all the targets with very good accuracy using the RIS. The initial estimates obtained by the HCBs can provide centimeter-level accuracy, and when the optimal performance is needed, at the cost of a few extra transmissions, the proposed iterative MLE method improves the accuracy to sub-millimeter accuracy, yielding the position error bound.
title RIS-Aided Bistatic Radar for Rapid NLOS Sensing in the Teraharetz Band
topic Signal Processing
url https://arxiv.org/abs/2408.08096