Multi-Target Location for Intelligent Reflecting Surface Aided Radar System

The target location can be realized based on the estimated directions of arrival (DOAs) when using multiple arrays. However, this leads to the increase of radar system cost. Meanwhile, the location precision depends on the high accuracy of DOA estimations, which are usually with high computational c...

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Bibliographic Details
Published in:IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 1 - 6
Main Authors: Zhao, Yangying, Chen, Peng, Cao, Zhenxin
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2023
Subjects:
Computational modeling
Costs
Direction-of-arrival estimation
DOA estimation
Estimation
IRS
location system
NCANM
Perturbation methods
Radar
Simulation
ISSN:1558-2612
Online Access:Get full text
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Summary:The target location can be realized based on the estimated directions of arrival (DOAs) when using multiple arrays. However, this leads to the increase of radar system cost. Meanwhile, the location precision depends on the high accuracy of DOA estimations, which are usually with high computational complexity. In this paper, the problem of low-cost system and low-complexity DOA estimation method are addressed. First, a low-cost intelligent reflecting surfaces (IRSs) aided radar location system is developed, where only one fully functional receiving channel is adopted. Then, a novel nonconvex-based atomic norm minimization (NC-ANM) problem is formulated by exploiting the targets' sparsity in the spatial domain to estimate the DOA more efficiently. After getting the DOA estimations, a multi-target location method is proposed. Simulation results show that the proposed NC-ANM method outperforms the compared methods in the DOA estimation with lower computational complexity and achieves accurate location in the IRSs aided system.
ISSN:1558-2612
DOI:10.1109/WCNC55385.2023.10119057