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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Threshold Selection for Ultra-Wideband TOA Estimation Based on Skewness Analysis
verfasst von : Hao Zhang, Xue-rong Cui, T. Aaron Gulliver
Erschienen in: Ubiquitous Intelligence and Computing
Verlag: Springer Berlin Heidelberg
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Because of the high sampling rate, coherent Time of Arrival (TOA) estimation algorithms are not practical for low cost, low complexity Ultra-Wideband (UWB) systems. In this paper, an Energy Detection (ED) based non-coherent TOA estimation algorithm is presented. The expected values of skewness and kurtosis with respect to the Signal to Noise Ratio (SNR) are investigated. It is shown that the skewness is more suitable for TOA estimation. To improve the precision of TOA estimation, a new threshold selection algorithm is proposed which is based on skewness analysis. The best threshold values for different SNRs are investigated and the effects of integration period and channel modes are examined. Comparisons with other ED based algorithms show that in CM1 and CM2 channels, the proposed algorithm provides higher precision and robustness in both high and low SNR environments.