NDLI: Error Analysis of the Distance and Distance Difference for SSSD-based Wireless Location: Part I-Theoretical Aspects

Content Provider	IEEE Xplore Digital Library
Author	Bo-Chieh Liu Ken-Huang Lin
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung (Bo-Chieh Liu; Ken-Huang Lin)
Abstract	Mobile location services (MLS) in wireless networks continue to advance. The promise of new MLS is for a substantial part concentrated on location estimation. Depending on the distance and distance-difference estimated from the stationary signal-strength-difference (SSSD) measurements, the location of the mobile caller is provided by using the circular and hyperbolic algorithms respectively. However, its performance is limited because the accuracy of the distance and distance-difference are affected by two impairment factors: one factor is the SSSD measurement error and one factor is an error resulted from the detection of the reference distance, called the detection error. In part I of this paper, we present a systematical analysis for the reference distance detection and SSSD measurement errors, which gives a convincing argument that a larger error is possible to expect and exist in the distance and distance-difference for which can be corrected via the least square (LS). In part II, the theoretical findings were demonstrated with a commercial cellular wireless network measurement.
Starting Page	684
Ending Page	688
File Size	277044
Page Count	5
File Format	PDF
ISBN	1424402662
ISSN	15502252
DOI	10.1109/VETECS.2007.151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-22
Publisher Place	Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Error analysis Multilevel systems Predictive models Wireless networks Measurement errors Error correction Shadow mapping Cellular networks Time measurement Least squares methods
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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