Local positioning with artificial neural network and time of arrival technique

Hui Zhu; Bo Huang; Yuji Tanabe; Takaaki Baba

doi:10.1109/ICICIC.2008.340

Local positioning with artificial neural network and time of arrival technique

Hui Zhu^*, Bo Huang, Yuji Tanabe, Takaaki Baba

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In recent years local positioning based on the received radio signals gets more interest. In a local environment, the multipath caused by the obstruction between transmitter and receiver are the main sources of range measurement errors, which result in the deterioration of the positioning performance. Many algorithms have been proposed for the position estimation under various environments. In this paper, an artificial neural network (ANN) based model is introduced to convert the received radio signals into position information. From the simulated results, it is indicated that the positioning precision of the proposed system, applied in a local environment, has been found to be 25% high than other algorithm under various scenarios. The implement of proposed algorithm could save the hardware cost of positioning systems.

Original language	English
Title of host publication	3rd International Conference on Innovative Computing Information and Control, ICICIC'08
DOIs	https://doi.org/10.1109/ICICIC.2008.340
Publication status	Published - 2008
Event	3rd International Conference on Innovative Computing Information and Control, ICICIC'08 - Dalian, Liaoning Duration: 2008 Jun 18 → 2008 Jun 20

Other

Other	3rd International Conference on Innovative Computing Information and Control, ICICIC'08
City	Dalian, Liaoning
Period	08/6/18 → 08/6/20

ASJC Scopus subject areas

Computer Science Applications
Software
Control and Systems Engineering

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10.1109/ICICIC.2008.340

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Zhu, H, Huang, B, Tanabe, Y & Baba, T 2008, Local positioning with artificial neural network and time of arrival technique. in 3rd International Conference on Innovative Computing Information and Control, ICICIC'08., 4603698, 3rd International Conference on Innovative Computing Information and Control, ICICIC'08, Dalian, Liaoning, 08/6/18. https://doi.org/10.1109/ICICIC.2008.340

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title = "Local positioning with artificial neural network and time of arrival technique",

abstract = "In recent years local positioning based on the received radio signals gets more interest. In a local environment, the multipath caused by the obstruction between transmitter and receiver are the main sources of range measurement errors, which result in the deterioration of the positioning performance. Many algorithms have been proposed for the position estimation under various environments. In this paper, an artificial neural network (ANN) based model is introduced to convert the received radio signals into position information. From the simulated results, it is indicated that the positioning precision of the proposed system, applied in a local environment, has been found to be 25% high than other algorithm under various scenarios. The implement of proposed algorithm could save the hardware cost of positioning systems.",

author = "Hui Zhu and Bo Huang and Yuji Tanabe and Takaaki Baba",

year = "2008",

doi = "10.1109/ICICIC.2008.340",

language = "English",

isbn = "9780769531618",

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note = "3rd International Conference on Innovative Computing Information and Control, ICICIC'08 ; Conference date: 18-06-2008 Through 20-06-2008",

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AU - Huang, Bo

AU - Tanabe, Yuji

AU - Baba, Takaaki

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N2 - In recent years local positioning based on the received radio signals gets more interest. In a local environment, the multipath caused by the obstruction between transmitter and receiver are the main sources of range measurement errors, which result in the deterioration of the positioning performance. Many algorithms have been proposed for the position estimation under various environments. In this paper, an artificial neural network (ANN) based model is introduced to convert the received radio signals into position information. From the simulated results, it is indicated that the positioning precision of the proposed system, applied in a local environment, has been found to be 25% high than other algorithm under various scenarios. The implement of proposed algorithm could save the hardware cost of positioning systems.

AB - In recent years local positioning based on the received radio signals gets more interest. In a local environment, the multipath caused by the obstruction between transmitter and receiver are the main sources of range measurement errors, which result in the deterioration of the positioning performance. Many algorithms have been proposed for the position estimation under various environments. In this paper, an artificial neural network (ANN) based model is introduced to convert the received radio signals into position information. From the simulated results, it is indicated that the positioning precision of the proposed system, applied in a local environment, has been found to be 25% high than other algorithm under various scenarios. The implement of proposed algorithm could save the hardware cost of positioning systems.

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BT - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08

T2 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08

Y2 - 18 June 2008 through 20 June 2008

ER -

Local positioning with artificial neural network and time of arrival technique

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