Title :
A Kernel-based TDOA localization algorithm
Author :
Zhang, Li ; Yu, XiaoDong
Author_Institution :
Shandong Inst. of Light Ind., Jinan, China
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;
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
DOI :
10.1109/ICCASM.2010.5623176
