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

LIU Kaikai; TIAN Zengshan; LI Ze; WAN Xiaoyu

doi:10.11999/JEIT221269

Volume 45 Issue 12

Dec. 2023

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LIU Kaikai, TIAN Zengshan, LI Ze, WAN Xiaoyu. 3-D Localization Method Based on Wireless Tags in Warehouse Scenarios[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4218-4227. doi: 10.11999/JEIT221269

Citation:

LIU Kaikai, TIAN Zengshan, LI Ze, WAN Xiaoyu. 3-D Localization Method Based on Wireless Tags in Warehouse Scenarios[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4218-4227. doi: 10.11999/JEIT221269

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

doi: 10.11999/JEIT221269

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3.
School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202100647)

Received Date: 2022-10-08
Rev Recd Date: 2023-03-03

Available Online: 2023-03-13

Publish Date: 2023-12-26

Abstract

Abstract

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.
- Indoor 3-D localization,
- Wireless tag,
- Uniform Planar Array (UPA),
- Sparse recovery,
- Swarm intelligence

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References(20)

References

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