G - Physics – 01 – S
Patent
G - Physics
01
S
G01S 1/68 (2006.01) G01S 5/02 (2006.01) H04B 7/00 (2006.01) H04B 17/00 (2006.01)
Patent
CA 2442950
The location of people, mobile terminals and equipment in a mine is of great current interest. In an indoor environment such as a mine (may be generalised to any indoor environment), the multipath caused by reflection from walls, ceiling, floor and objects, and the non-line of sight (NLOS) due to the blockage of the shortest direct path between the transmitter and receiver are the main sources of range measurement errors. The unreliable measurements of location metrics such as RSS, AOA and TOA/TDOA yield to 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 measurements' results applied to an artificial neural network (ANN). The proposed system (WBNN-Locate) learns off-line the location 'signatures' from the extracted location dependent features of the measured channel impulse responses data (any relevant location dependent parameter may also be used) for LOS and NLOS situations. It then matches on-line the observation received from a mobile station against the learned set of 'signatures' to accurately locate its position. With this approach, multipath becomes useful since it improves location 'signatures' characterisation, and the presence of a line of sight (LOS) is no longer essential, unlike in other geolocation techniques. The proposed location system has the characteristic to operate with a single fixed station and may be applied to a three-dimensional environment. The error median distance and the 90th percentile of the error distance found with this technique were 1.2 m and 2 m, respectively.
Affes Sofiene
Despins Charles
Nerguizian Chahe
Affes Sofiene
Despins Charles
Goudreau Gage Dubuc
Institut National de La Recherche Scientifique
Nerguizian Chahe
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