Coded Aperture Radar Imaging Using Reconfigurable Intelligent Surfaces

Sankar, RSP and Chepuri, SP (2023) Coded Aperture Radar Imaging Using Reconfigurable Intelligent Surfaces. In: UNSPECIFIED, pp. 171-175.

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Abstract

In this paper, we focus on radar imaging using active sensing with a single transceiver and reconfigurable intelligent surface (RIS). RISs are arrays with tunable passive phase shifter elements that can modify the propagation channel. The RIS reflects each transmit pulse with a different phase profile. We use compressive sensing to recover the radar scene from observations at the single-antenna receiver. We also provide a projected gradient descent algorithm to design the RIS phase shifts to obtain minimally coherent observations required for recovery. Through numerical simulations, we demonstrate that the proposed method recovers radar scenes with point scatterers and extended targets. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to authors.
Keywords:	Antennas; Gradient methods; Numerical methods; Radio transceivers; Recovery; Synthetic aperture radar, Active Sensing; Coded aperture radar; Coded apertures; Computational sensing; Passive phase; Reconfigurable; Reconfigurable intelligent surface; Single transceiver; Sparse recovery; Tunables, Radar imaging
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	17 May 2024 03:51
Last Modified:	17 May 2024 03:51
URI:	https://eprints.iisc.ac.in/id/eprint/84540

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