A Sliding Window Method with Iterative Tuning for Channel Estimation of UWB Signals

Dan WANG  Ling-ge JIANG  Chen HE  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E90-A   No.9   pp.2042-2046
Publication Date: 2007/09/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e90-a.9.2042
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Communication Theory and Signals
channel estimation,  iterative tuning,  sliding window (SW),  ultra-wideband (UWB),  

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This letter proposes a sliding window method with iterative tuning for channel estimation of UWB signals. The iterative tuning scheme, which is based on multiple iterations of least mean square (LMS) algorithm, is utilized for modifying the output of the conventional sliding window channel estimator. By using this, the proposed method is more flexible due to the tradeoff between the processing time and accuracy, which makes it more suitable for practical UWB wireless communications. Simulations are also provided for demonstrating the validation of the proposed method.