DocumentCode
533199
Title
A Kernel-based TDOA localization algorithm
Author
Zhang, Li ; Yu, XiaoDong
Author_Institution
Shandong Inst. of Light Ind., Jinan, China
Volume
11
fYear
2010
fDate
22-24 Oct. 2010
Abstract
A Kernel-based Weighted Total Least Square (KWTLS) method is proposed at first. Based on this method, an effective TDOA localization algorithm is developed. The results of simulation show that using KWTLS method instead of the first WLS in the Chan´s algorithm can significantly improve its performance in distant source cases. A dynamic weight coefficient adjusting method is also proposed, which can effectively reduce the effect of noise variance.
Keywords
cellular radio; least squares approximations; time-of-arrival estimation; Chan´s algorithm; Kernel-based TDOA localization algorithm; Kernel-based weighted total least square method; WLS; dynamic weight coefficient adjusting method; Equations; Fitting; Heuristic algorithms; Kernel; Mathematical model; Noise; Signal processing algorithms; Kernel method; Localization; TDOA; Weighted total least square;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5623176
Filename
5623176
Link To Document