3-D Localization Method Based on Wireless Tags in Warehouse Scenarios

被引：0
|
作者：
Liu K. [1 ]
Tian Z. [1 ]
Li Z. [2 ]
Wan X. [3 ]
机构：
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
[2] Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing
[3] School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2023年 / 45卷 / 12期
关键词：
Indoor 3-D localization; Sparse recovery; Swarm intelligence; Uniform Planar Array (UPA); Wireless tag;
D O I：
10.11999/JEIT221269
中图分类号：
学科分类号：
摘要：
The warehousing industry is striding forward in the direction of intelligence. Still, the challenges of in-storage and out-storage, caused by the lack of location information of goods indoors, hinder it. To achieve accurate localization of goods, a 3-D localization method based on wireless tags is proposed. The designed tags are mounted on the goods, reflecting the Orthogonal Frequency Division Multiplexing (OFDM) signals from the transmitter. The receiver with a Uniform Planar Array (UPA) as receiving antenna receives the signals and gets the channel estimates on multiple antenna channels. Then, the multi-dimensional wireless channel parameters are obtained using the two-step sparse recovery algorithm. An optimization problem for solving the unknown tags' locations is built according to the geometric locations of the receiver, transmitter, and tags in 3-D space. Finally, the swarm intelligence method is utilized to search accurately the tags' locations. The tag prototype, OFDM transmitter, and receiver are realized to validate the system based on the proposed scheme. Experimental results demonstrate that the system can achieve a 3-D median accuracy of 0.53 m. © 2023 Science Press. All rights reserved.
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页码：4218 / 4227
页数：9
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