NDLI: A TOA-Based Geolocation Algorithm Utilizing Convex Combination

Content Provider	IEEE Xplore Digital Library
Author	Xiaorui Gong Jianhua Peng Kaizhi Huang Yajun Chen
Copyright Year	2015
Description	Author affiliation: China Nat. Digital Switching Syst. Eng. & Technol. R&D Center, Zhengzhou, China (Xiaorui Gong; Jianhua Peng; Kaizhi Huang; Yajun Chen)
Abstract	In the wireless position techniques for cellular networks, the traditional geolocation algorithms have been researched because of the advantage low complexity, however the representative LLOP algorithm does not well performed in the cellular networks since it is constrained with the geometry relationship between mobile station and the base stations. For the low accuracy problem of LLOP algorithm, we have proposed a TOA-based geolocation algorithm utilizing convex combination. The method introduces convex combination theory, which the convex combination of a set of coarse position estimations can be used to generate position estimation with higher accuracy, and proposes a linearized procedure to calculate the convex combination coefficients. Simulation results verify that the proposed algorithm decreases the position error by 6.19%, 7.51% and 40.97% compared with LLS- MLE algorithm, LLOP-LS algorithm and LLOP algorithm respectively when the number of base stations is 5 and the measurement noise standard deviation is 50m.
Starting Page	1
Ending Page	5
File Size	279696
Page Count	5
File Format	PDF
ISBN	9781479980888
DOI	10.1109/VTCSpring.2015.7145655
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-11
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Noise measurement Complexity theory Geology Noise Maximum likelihood estimation
Content Type	Text
Resource Type	Article

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