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A Sliding Window Method with Iterative Tuning for Channel Estimation of UWB Signals Dan WANG Ling-ge JIANG Chen HE Publication 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 Keyword: channel estimation, iterative tuning, sliding window (SW), ultra-wideband (UWB), Full Text: PDF(144.3KB)>>
Summary: 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. | ||||||||||
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