DocumentCode :
2338597
Title :
WLC35-1: Enhanced Location Accuracy for Hyperbolic Positioning Technique Based on SSSD Measurements in Wireless Cellular Networks via Least-Square Algorithm
Author :
Liu, Bo-Chieh ; Lin, Ken-Huang
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung
fYear :
2006
fDate :
Nov. 27 2006-Dec. 1 2006
Firstpage :
1
Lastpage :
5
Abstract :
Location-based services and applications in wireless cellular networks continue to extend. The introduction of location information will open a variety of new features of services. Thus, developing an effective and inexpensive positioning technique is imperative. It is known that the location computation of the mobile station (MS) can be realized by using the hyperbolic positioning technique based on the stationary signal-strength- difference (SSSD) measurements. However, the location accuracy is limited because of the noisy and imperfection measurements, primarily caused by the signal interference and propagation effects. To enhance location accuracy, this paper discusses the least-square (LS) algorithm to correct the measurement error in the estimated distance differences. Collecting the results obtained from the field trial undertaken in a commercial wireless cellular 900 MHz network, the mean error of location computation can be reduced by an average of approximately 27 percentile, reaching the best (lowest) value 205 m.
Keywords :
cellular radio; least squares approximations; enhanced location accuracy; frequency 900 MHz; hyperbolic positioning technique; least-square algorithm; location-based services; mobile station; signal interference; signal propagation; stationary signal- strength-difference; wireless cellular networks; Cellular networks; Computer networks; FCC; Interference; Iterative algorithms; Land mobile radio cellular systems; Measurement errors; Mobile computing; Position measurement; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location :
San Francisco, CA
ISSN :
1930-529X
Print_ISBN :
1-4244-0356-1
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2006.817
Filename :
4151447
Link To Document :
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