Research Article
Low-Complexity Blind Channel Estimation Algorithm for UWB Communication Systems
@INPROCEEDINGS{10.1109/CHINACOM.2008.4685135, author={Zhiyuan Ren and Tiejun Lv}, title={Low-Complexity Blind Channel Estimation Algorithm for UWB Communication Systems}, proceedings={ChinaCom2008-Wireless Communications and Networking Symposium}, publisher={IEEE}, proceedings_a={CHINACOM2008-WCN}, year={2008}, month={11}, keywords={UWB Blind Channel Estimation Discrete Wavelet Transform Pulse Position Modulation}, doi={10.1109/CHINACOM.2008.4685135} }- Zhiyuan Ren
Tiejun Lv
Year: 2008
Low-Complexity Blind Channel Estimation Algorithm for UWB Communication Systems
CHINACOM2008-WCN
IEEE
DOI: 10.1109/CHINACOM.2008.4685135
Abstract
A low-complexity blind channel estimation algorithm is proposed for ultra-wideband (UWB) wireless communication systems in dense multipath environments. To accurately estimate channel impulse response (CIR), the proposed algorithm exploits an unconventional denoising fast Fourier transform (FFT) to perform deconvolution. The denoising FFT employs the discrete wavelet transform (DWT) to compute discrete Fourier transform (DFT), meanwhile suppressing the noise. Theoretical analysis and simulation results both show that the proposed approach greatly improves the estimation accuracy of CIR, compared with the FFT-based algorithm in [9], [10]. However, their computational complexities are on the same order. In particular, the proposed method can be used for identification of more realistic channel models, in which signal echoes along different propagation paths undergo different frequency-selective fading.