Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound optimization

Xianxin Song1; Jie Xu1; Fan Liu2; Tony Xiao Han3; Yonina C. Eldar4

10.1109/GCWkshps56602.2022.10008725

2022

978-1-6654-5976-1

2022 IEEE Globecom Workshops (GC Wkshps)

413-418

4-8 Dec. 2022

Rio de Janeiro, Brazil

This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is deployed to assist an access point (AP) to sense a target in its NLoS region. It is assumed that the AP is equipped with multiple antennas and the IRS is equipped with a uniform linear array. The AP aims to estimate the target’s direction-of-arrival (DoA) with respect to the IRS, based on the echo signals from the AP-IRS-target-IRS-AP link. Under this setup, we jointly design the transmit beamforming at the AP and the reflective beamforming at the IRS to minimize the CramérRao lower bound (CRLB) on estimation error. Towards this end, we first obtain the CRLB expression for estimating the DoA in closed form. Next, we optimize the joint beamforming design to minimize the CRLB, via alternating optimization, semi-definite relaxation, and successive convex approximation. Numerical results show that the proposed design based on CRLB minimization achieves improved sensing performance in terms of mean squared error, as compared to the traditional schemes with signal-to-noise ratio maximization and separate beamforming.

Wireless communication Wireless sensor networks Estimation error Direction-of-arrival estimation Array signal processing Minimization Sensors

其他

IEEE

1.School of Science and Engineering, Future Network of Intelligence Institute, and Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), China
2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, China
3.wireless Technology Lab, 2012 Laboratories, Huawei, China
4.Faculty of Mathematics and Computer Science, Weizmann Institute of Science, Israel

Xianxin Song,Jie Xu,Fan Liu,et al. Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound optimization[C],2022:413-418.