Threshold Selection for Ultra-Wideband TOA Estimation Based on Skewness Analysis

  • Hao Zhang
  • Xue-rong Cui
  • T. Aaron Gulliver
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6905)

Abstract

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.

Keywords

Match Filter Energy Detection Threshold Selection Mean Absolute Error Integration Period 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hao Zhang
    • 1
    • 3
  • Xue-rong Cui
    • 1
    • 2
  • T. Aaron Gulliver
    • 3
  1. 1.Department of Information Science and EngineeringOcean University of ChinaQing DaoChina
  2. 2.Department of Computer and Communication EngineeringChina University of Petroleum (East China)Qing DaoChina
  3. 3.Department of Electrical Computer EngineeringUniversity of VictoriaVictoriaCanada

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