Authors
Chahé Nerguizian, Charles Despins, Sofiène Affès
Publication date
2006/3/27
Journal
IEEE Transactions on Wireless Communications
Volume
5
Issue
3
Pages
603-611
Publisher
IEEE
Description
The location of people, mobile terminals and equipment is highly desirable for operational enhancements in the mining industry. In an indoor environment such as a mine, the multipath caused by reflection, diffraction and diffusion on the rough sidewall surfaces, and the non-line of sight (NLOS) due to the blockage of the shortest direct path between transmitter and receiver are the main sources of range measurement errors. Unreliable measurements of location metrics such as received signal strengths (RSS), angles of arrival (AOA) and times of arrival (TOA) or time differences of arrival (TDOA), result in the deterioration of the positioning performance. Hence, alternatives to the traditional parametric geolocation techniques have to be considered. In this paper, we present a novel method for mobile station location using wideband channel measurement results applied to an artificial neural network (ANN). The …
Total citations
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Scholar articles
C Nerguizian, C Despins, S Affès - IEEE transactions on wireless communications, 2006