Flexible Intelligent Metasurface for Enhancing Multi-Target Wireless Sensing
Zihao Teng, Jiancheng An, Lu Gan, Naofal Al-Dhahir, and Zhu Han

TL;DR
This paper introduces a flexible intelligent metasurface (FIM) that dynamically adjusts its shape and electromagnetic response to improve multi-target wireless sensing, offering a new degree of freedom for optimizing sensing performance.
Contribution
It proposes a joint optimization method for FIM surface shape and transmit covariance to enhance sensing, with a novel BCD algorithm and analysis of its properties.
Findings
FIM significantly improves sensing performance in multi-target scenarios.
The proposed algorithm effectively optimizes surface shape and transmit covariance.
Numerical results confirm enhanced sensing accuracy and robustness.
Abstract
Flexible intelligent metasurface (FIM) has emerged as a transformative technology to enhance wireless sensing by dynamically morphing its three-dimensional (3D) surface shape and electromagnetic response. Unlike conventional rigid arrays, an FIM consists of low-cost radiating elements that can independently adjust their positions and radiation characteristics, thereby allowing for real-time optimization of the sensing environment. This paper investigates the impact of FIM on wireless sensing performance. Specifically, we focus on the maximization of the cumulated power of the probing signals at the target locations under the per-antenna power constraint by jointly optimizing the transmit covariance matrix and the surface shape of the transmitting FIM. We propose a block coordinate descend (BCD) algorithm to find a locally optimal solution, by alternatively updating the FIM surface shape…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Metamaterials and Metasurfaces Applications
