DocumentCode
2312708
Title
An Integration Optimized UWB Transmitted Reference System Based on Wavelet Denoising
Author
Zeng, Yongbo ; Zheng Zhou ; Song, Qizhu ; Kan, Runtian
Author_Institution
Beijing Univ. of Posts & Telecommun.
fYear
2006
fDate
25-27 Oct. 2006
Firstpage
1
Lastpage
5
Abstract
This paper exploits the "localization" property of the wavelet transform to optimize the integration interval in transmitted reference (TR) system. The average correlation receiver is adopted in this paper to suppress the noise contained in the reference signal. The integration time optimization is based on the fact that the path energy decreases as the path delay increases and the tail of a frame time is dominated by noise, consequently, it is unnecessary for the correlation receiver to integrate over the full frame time. Hence, we apply the wavelet transform to locate the energy concentrated area and to optimize the integration time. It consists of two steps: the first one is the wavelet denoising which can intensify the signal part and reduce the noise component; the second one is to estimate the mean and covariance of multipath delay. Simulation results show that the approach performs better than the conventional TR and averaging only approach
Keywords
multipath channels; ultra wideband communication; wavelet transforms; average correlation receiver; integration optimized UWB transmitted reference system; integration time optimization; multipath delay; wavelet denoising; wavelet transform; Delay effects; Delay estimation; Energy capture; Error probability; Noise reduction; Propagation delay; RAKE receivers; Signal to noise ratio; Tail; Wavelet transforms; Integration Optimization; Transmitted reference; UWB; Wavelet Denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2006. ChinaCom '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0463-0
Electronic_ISBN
1-4244-0463-0
Type
conf
DOI
10.1109/CHINACOM.2006.344815
Filename
4149780
Link To Document