NDLI: Mobile positioning based on TOA/TSOA/TDOA measurements with NLOS error reduction

Content Provider	IEEE Xplore Digital Library
Author	Kuen-Tsiar Lay Wei-Kai Chao
Copyright Year	2005
Description	Author affiliation: Dept. of Electron. Eng., Nat. Taiwan Univ., Taiwan (Kuen-Tsiar Lay; Wei-Kai Chao)
Abstract	With the spread of mobile communication networks, location dependent services are gaining popularity all over the world. Obviously, as its name implies, a location dependent service needs to know (more practically speaking, estimate) the location of the mobile station (MS) before it can offer any service at all. In this paper, we address the issue of mobile positioning (i.e. estimating the location of an MS) given the measured distances between the MS and its nearby base stations (BSV). The measurements, which are in general corrupted with measurement noise and NLOS (non-line-of-sight) error, can come from the time of arrival (TOA), the time sum of arrival (TSOA), or the time difference of arrival (TDOA). The NLOS error is the major cause that degrades the accuracy of mobile positioning. Assuming the knowledge of its statistic model, however, we propose a scheme that greatly reduces its effect. The results on MS location estimation thus obtained are comparable to the Cramer-Rao lower bounds (CRLBV). Regardless of the measurement types (i.e. TOA, TSOA, or TDOA), the proposed scheme computes the MS location in a unified way.
Starting Page	545
Ending Page	548
File Size	4916282
Page Count	4
File Format	PDF
ISBN	0780392663
DOI	10.1109/ISPACS.2005.1595467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Position measurement Noise measurement Global Positioning System Time measurement Degradation Maximum likelihood estimation Gain measurement Chaotic communication Mobile communication Base stations
Content Type	Text
Resource Type	Article

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