DocumentCode :
3192088
Title :
Kalman filter based UWB TOA estimation via PCA
Author :
Qin, Kang ; Guo-qiang, Xiao ; Chun-ling, Tang
Author_Institution :
Fac. of Comput. & Inf. Sci., Southwest China Univ., Chongqing
fYear :
2008
fDate :
25-27 May 2008
Firstpage :
310
Lastpage :
313
Abstract :
An accurate estimation of signal arrival time is considerable essential in many applications, such as in time-based wireless and indoor location systems. In this paper, we propose a time of arrival (TOA) estimation algorithm for the ultra-wideband (UWB) systems, which is based on principal component analysis (PCA) combined with Kalman filtering. In order to reduce the computational load, a predefined window is applied to the received signal samples in a frame, and then the TOA is estimated by PCA over the data within the window. The center of the window in current frame is predicted with Kalmam filtering during previous frame interval. Extensive experimental results show that, in comparison with similar existing techniques, the proposed algorithm achieves superiority measured by the normalized mean square error (NMSE) and the cumulative distribution function (CDF) of the normalized mean absolute errors of the path delay estimation.
Keywords :
Kalman filters; mean square error methods; principal component analysis; time-of-arrival estimation; ultra wideband communication; Kalman filter; PCA; UWB TOA estimation; cumulative distribution function; indoor location system; normalized mean absolute error; normalized mean square error; path delay estimation; principal component analysis; signal arrival time estimation; time of arrival estimation algorithm; time-based wireless system; ultra-wideband system; Delay estimation; Filtering algorithms; Kalman filters; Mean square error methods; Multiple signal classification; Principal component analysis; Pulse modulation; Signal resolution; Time of arrival estimation; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location :
Fujian
Print_ISBN :
978-1-4244-2063-6
Electronic_ISBN :
978-1-4244-2064-3
Type :
conf
DOI :
10.1109/ICCCAS.2008.4657783
Filename :
4657783
Link To Document :
بازگشت