DocumentCode :
417820
Title :
Ultra wide-band communications with blind channel estimation based on first-order statistics
Author :
Wang, Zhengdao ; Yang, Xiaofan
Author_Institution :
Dept. of Electr. & Comput. Engr., Iowa State Univ., Ames, IA, USA
Volume :
4
fYear :
2004
fDate :
17-21 May 2004
Abstract :
Ultra wideband (UWB) communication holds great potential for significantly improved data rate in future wireless systems. Accurate channel estimation and synchronization are critical for successful operation of a UWB system. We propose in this paper a completely blind channel estimation and synchronization algorithm for UWB systems that employ pulse-position modulation. The algorithm exploits the first-order cyclostationarity in the received signal and performs certain circular deconvolution. The complexity is extremely low - only some "overlap-add" operations and FFT operations are needed. The algorithm is capable of simultaneously estimating multiple (say, more than 60) channel taps and there is no ambiguity in either the amplitude or the phase of the estimated channel. It is shown that using the estimated channel from 500 information symbols, the performance can approach that with the known channel within 2 dB in signal to noise ratio for bit error rate less than 0.01.
Keywords :
amplitude estimation; channel estimation; data communication; deconvolution; digital radio; fast Fourier transforms; indoor radio; phase estimation; pulse position modulation; statistical analysis; synchronisation; FFT operations; UWB communication; amplitude estimation; blind channel estimation; circular deconvolution; data rate; first-order cyclostationarity; first-order statistics; multiple channel taps; overlap-add operations; performance; phase estimation; pulse-position modulation; synchronization; ultra wideband communication; Amplitude estimation; Bit error rate; Blind equalizers; Channel estimation; Deconvolution; Phase estimation; Pulse modulation; Signal to noise ratio; Statistics; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326880
Filename :
1326880
Link To Document :
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