Abstract
This paper presents a novel RSSI based localization scheme that employs an existing cellular network infrastructure to perform trilateration. Traditional localization schemes employ RSSI-Based radial distance estimation and trilateration algorithm. However, in a realistic scenario, the RSSI measurements are distorted due to multipath fading thus introducing error in radial distance estimation. Moreover, the selection of the best three anchor cell towers with the lowest localization error is not explored. the proposed scheme improves localization accuracy using two, novel correcting and evaluating metrics: The Radial Distance Error Indicator (RDEI) and the Localization Error Indicator (LEI). the proposed RDEI metric is derived from the mean square error (MSE) of radial distance estimation in multipath fading channel. in the proposed method, it is employed as a correcting factor for the radial distance estimation. Next, the LEI estimate the combined localization error based on the tower's positions, corresponding radial distance estimation and its error. the final position estimation improves localization accuracy as demonstrated through analytical and experimental results. © 2012 IEEE.
Recommended Citation
L. Wang and M. Zawodniok, "RSSI-Based Localization in Cellular Networks," Proceedings - Conference on Local Computer Networks, LCN, pp. 820 - 826, article no. 6424069, Institute of Electrical and Electronics Engineers, Dec 2012.
The definitive version is available at https://doi.org/10.1109/LCNW.2012.6424069
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Localization Error Indicator; Localization Estimation Error; Radial Distance Error; Radial Distance Error Indicator; Received Signal Strength Indicator
International Standard Book Number (ISBN)
978-146732129-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024, All rights reserved.
Publication Date
01 Dec 2012
