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Multi-target Detection for Reconfigurable Holographic Surfaces Enabled Radar by Zhang, Xiaoyu; Zhang, Haobo; Deng, Ruoqi; Liu, Liang; Di, Boya is a scholarly article available to read on EtoBox.

What is Multi-target Detection for Reconfigurable Holographic Surfaces Enabled Radar about?

Multi-target detection is one of the primary tasks in radar-based localization and sensing, typically built on phased array antennas. However, the bulky hardware in the phased array restricts its potential for enhancing detection accuracy, since the cost and power of the phased array can become unaffordable as its physical aperture scales up to pursue higher beam shaping capabilities. To resolve this issue, we propose a radar system enabled by reconfigurable holographic surfaces (RHSs), a novel meta-surface antenna composed of meta-material elements with cost-effective and power-efficient hardware, which performs multi-target detection in an adaptive manner. Different from the phase-control structure in the phased array, the RHS is able to apply beamforming by controlling the radiation amplitudes of its elements. Consequently, traditional beamforming schemes designed for phased arrays cannot be directly applied to RHSs due to this structural difference. To tackle this challenge, a waveform and amplitude optimization algorithm (WAOA) is designed to jointly optimize the radar waveform and RHS amplitudes in order to improve the detection accuracy. Simulation results reveal that the pr

Author

Zhang, Xiaoyu; Zhang, Haobo; Deng, Ruoqi; Liu, Liang; Di, Boya

Published

2024

Language

EN