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
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