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)


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.


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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Tiuraniemi, S., Stoica, L., Rabbachin, A., Oppermann, I., Tiuraniemi, S.: A VLSI Implementation of Low Power, Low Data Rate UWB Transceiver for Location and Tracking Applications. Journal of VLSI Signal Processing Systems, 43–58 (2006)Google Scholar
  2. 2.
    Jie, D., Cui, X., Zhang, H., Wang, G.: A Ultra-Wideband Location Algorithm Based on Neural Network. In: 6th International Conference on Wireless Communications Networking and Mobile Computing. IEEE Press, New York (2010)Google Scholar
  3. 3.
    Tu, X., Zhang, H., Cui, X., Gulliver, T.A.: 3-D TDOA/AOA location based on Extended Kalman Filter. In: 9th International Symposium on Antennas Propagation and EM Theory. IEEE Press, New York (2010)Google Scholar
  4. 4.
    Rao, D., Barton, R.J.: Performance Capabilities of UWB Location and Tracking Systems. In: Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE Press, New York (2006)Google Scholar
  5. 5.
    Gezici, S., Poor, H.V.: Position Estimation via Ultra-Wide-Band Signals. Proceedings of the IEEE 97(2), 386–403 (2009)CrossRefGoogle Scholar
  6. 6.
    Sahinoglu, Z., Gezici, S.: Ranging in the IEEE 802.15.4a Standard. In: IEEE Annual Wireless and Microwave Technology Conference. IEEE Press, New York (2006)Google Scholar
  7. 7.
    Dardari, D., Conti, A., Ferner, U., Giorgetti, A., Win, M.Z.: Ranging With Ultrawide Bandwidth Signals in Multipath Environments. Proceedings of the IEEE 97(2), 404–426 (2009)CrossRefGoogle Scholar
  8. 8.
    Zhang, Y., Brown, A.K., Malik, W.Q., Edwards, D.J.: High Resolution 3-D Angle of Arrival Determination for Indoor UWB Multipath Propagation. IEEE Transactions on Wireless Communications 7(8), 3047–3055 (2008)CrossRefGoogle Scholar
  9. 9.
    Dardari, D., Giorgetti, A., Win, M.Z.: Time-of-Arrival Estimation of UWB Signals in the Presence of Narrowband and Wideband Interference. In: IEEE International Conference on Ultra-Wideband. IEEE Press, New York (2007)Google Scholar
  10. 10.
    Bocquet, M., Loyez, C., Benlarbi-Delai, A.: Using enhanced-TDOA measurement for indoor positioning. IEEE Microwave and Wireless Components Letters 15(10), 612–614 (2005)CrossRefGoogle Scholar
  11. 11.
    Abbasi, A., Kahaei, M.H.: Improving source localization in LOS and NLOS multipath environments for UWB signals. In: 14th International CSI Computer Conference. IEEE Press, New York (2009)Google Scholar
  12. 12.
    Guvenc, I., Sahinoglu, Z.: Multiscale energy products for TOA estimation in IR-UWB systems. In: IEEE Global Telecommunications Conference. IEEE Press, New York (2005)Google Scholar
  13. 13.
    Xu, A.Y.-Z., Au, E.K.S., Wong, A.K.-S., Wang, Q.: A Novel Threshold-Based Coherent TOA Estimation for IR-UWB Systems. J. IEEE Transactions on Vehicular Technology 58(8), 4675–4681 (2009)CrossRefGoogle Scholar
  14. 14.
    Guvenc, I., Sahinoglu, Z.: Threshold selection for UWB TOA estimation based on kurtosis analysis. J. IEEE Communications Letters 9(12), 1025–1027 (2005)CrossRefGoogle Scholar
  15. 15.
    Guvenc, I., Sahinoglu, Z.: Threshold-based TOA estimation for impulse radio UWB systems. In: IEEE International Conference on Ultra-Wideband, IEEE Press, New York (2005)Google Scholar
  16. 16.
    Molisch, A.F., Balakrishnan, K., Cassioli, D., Chong, C.-C., Emanmi, S., Fort, A., Karedal, F., Kunisch, J., Schantz, H., Schuster, U., Siwiak, K.: IEEE 802.15.4a Channel Model—Final Report, IEEE P802.15-04-0662-00-004a (2006)Google Scholar

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

Personalised recommendations