Zero-tap detection-based kalman filter algorithm for UWB channel estimation

Author

Ren, Zhiyuan ; Lv, Tiejun ; Wang, Fei

Author_Institution

Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

9-11 Sept. 2009

Firstpage

702

Lastpage

706

Abstract

This paper deals with channel estimation for ultra-wideband (UWB) wireless communication systems in typical multipath environments. An improved Kalman filter algorithm is proposed to estimate the channel impulse response (CIR) of time-varing channel. By fitting zero-tap detection (ZTD) algorithm into Kalman filtering process, the proposed algorithm exploits the system-specific UWB receiver structure and priori statistical characteristics of UWB channel. As a result, the computational complexity is reduced dramatically and the performance is improved. Simulations and comparisons are implemented to illustrate the improvement of the proposed algorithm.

Keywords

Kalman filters; channel estimation; multipath channels; radio receivers; signal detection; statistical analysis; time-varying channels; ultra wideband communication; wireless channels; Kalman filter algorithm; UWB channel estimation; UWB receiver; channel impulse response; multipath channel; statistical characteristics; time-varing channel; wireless communication system; zero-tap detection; Channel estimation; Clustering algorithms; Computational complexity; Computational modeling; Filtering algorithms; Kalman filters; Maximum likelihood estimation; Time-varying channels; Ultra wideband technology; Wireless communication; Channel impulse response (CIR); Ultra-wideband (UWB); Zero-tap detection (ZTD);

fLanguage

English

Publisher

ieee

Conference_Titel

Ultra-Wideband, 2009. ICUWB 2009. IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4244-2930-1

Electronic_ISBN

978-1-4244-2931-8

Type

conf

DOI

10.1109/ICUWB.2009.5288778

Filename

5288778