Experimental Demonstration of 3D Visible Light Positioning Using Received Signal Strength With Low-Complexity Trilateration Assisted by Deep Learning Technique

Pengfei Du; Sheng Zhang; Chen Chen; Helin Yang; Wen-De Zhong; Ran Zhang; Arokiaswami Alphones; Yanbing Yang

doi:10.1109/ACCESS.2019.2928014

IEEE Access (Jan 2019)

Experimental Demonstration of 3D Visible Light Positioning Using Received Signal Strength With Low-Complexity Trilateration Assisted by Deep Learning Technique

Pengfei Du,
Sheng Zhang,
Chen Chen,
Helin Yang,
Wen-De Zhong,
Ran Zhang,
Arokiaswami Alphones,
Yanbing Yang

Affiliations

Pengfei Du: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Sheng Zhang: ORCiD; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Chen Chen: ORCiD; School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China
Helin Yang: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Wen-De Zhong: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Ran Zhang: ORCiD; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Arokiaswami Alphones: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Yanbing Yang: College of Computer Science, Sichuan University, Chengdu, China

DOI: https://doi.org/10.1109/ACCESS.2019.2928014
Journal volume & issue: Vol. 7
pp. 93986 – 93997

Abstract

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In this paper, a 3D indoor visible light positioning (VLP) system with fast computation time using received signal strength (RSS) is proposed and experimentally demonstrated. Assisted by the deep learning techniques, the complexity of the trilateration problem is greatly reduced, and the trilateration problem can be formulated as a linear mapping leading to faster position estimation than the conventional estimation. Moreover, a new method of off-line preparation is adopted to minimize the workload of the VLP system deployment for more practical usage. The proposition is implemented on an atto-cellular VLP unit, through which the real-time performance and positioning accuracy are demonstrated and validated in a 3D positioning experiment performed in a space of 1.2 × 1.2 × 2 m3. The experimental results show that a positioning accuracy of 11.93 cm in confidence of 90% is achieved with 50 times faster the computation time compared to the conventional scheme.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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