Title :
Blind channel estimation for ultra wide-band communications employing pulse position modulation
Author :
Wang, Zhengdao ; Yang, Xiaofan
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
7/1/2005 12:00:00 AM
Abstract :
Ultra wide-band (UWB) communication holds great potential for a 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 letter a completely blind channel estimation algorithm for UWB systems that employ pulse-position modulation, assuming perfect synchronization at the receiver. 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 fast Fourier transform 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 estimated channel from 500 information symbols, the performance can approach that with a known channel within 3 dB in signal-to-noise ratio for a bit error rate of 0.001.
Keywords :
channel estimation; error statistics; fast Fourier transforms; matched filters; pulse position modulation; radio receivers; synchronisation; ultra wideband communication; UWB; bit error rate; blind channel estimation algorithm; channel tap; circular deconvolution; cyclostationary; fast Fourier transform operation; first-order statistic; information symbol; pulse-position modulation; receiver; synchronization; ultra wide-band communication; Amplitude estimation; Bit error rate; Blind equalizers; Channel estimation; Deconvolution; Fast Fourier transforms; Phase estimation; Pulse modulation; Signal to noise ratio; Ultra wideband technology; Blind channel estimation; cyclostationary; first-order statistics; pulse position modulation; ultra wide-band (UWB);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.849491