Target Sensing With Intelligent Reflecting Surface: Architecture and Performance
By Xiaodan Shao, Changsheng You, Wenyan Ma, Xiaoming Chen, Rui Zhang. IEEE Journal on Selected Areas in Communications, 2022
328 citations recorded by the source corpus.
Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal’s amplitude and/or phase via a large number of reflecting elements. In contrast to the vast literature on studying IRS’s performance gains in wireless communications, we study in this paper a new application of IRS for sensing/localizing targets in wireless networks. Specifically, we propose a new self-sensing IRS architecture where the IRS controller is capable of transmitting probing signals that are not only directly reflected by the target (referred to as the direct echo link), but also consecutively reflected by the IRS and then the target (referred to as the IRS-reflected echo link). Moreover, dedicated sensors are installed at the IRS for receiving both the direct and IRS-reflected echo signals from the target, such that the IRS can sense the direction of its nearby target by applying a customized multiple signal classification (MUSIC) algorithm. However, since the angle estimation mean square error (MSE) by the MUSIC algorithm is intractable, we propose to optimize the IRS passive reflection for maximizing the average echo signals’ total power at the IRS sensors and derive the resultant Cramer-Rao bound (CRB) of the angle estimation MSE. Last, numerical results are presented to show the effectiveness of the proposed new IRS sensing architecture and algorithm, as compared to other benchmark sensing systems/algorithms.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/13f52a4a106382abade02437b502af1232bac86e
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In Electrical and Electronic Engineering
Citations in the corpus
- Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “Next, RIS is also beneficial for facilitating the sensing of targets with LoS links, via providing an additional link to see the targets from a different angle, thus potentially enhancing the sensing and localization accuracy and resolution [218], [219].”
- Modeling and Performance Analysis for Movable Antenna Enabled Wireless Communications (2022, background): “…to higher frequency bands, such as millimeter-wave (mmWave) and terahertz (THz) bands, the decreasing wavelength results in smaller antenna size, which renders the MIMO system to be of larger scale (a.k.a. massive MIMO) in order to compensate for the more severe propagation loss [4], [5], [6], [7].”
- Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, positive): “• Recently, IRS or reconfigurable intelligent surface (RIS) has been recognized as a promising technique to enhance the communication performances by reconfiguring the radio propagation environments [57], and also improve the sensing performance by providing additional sensing paths [58]–[60].”