Adaptive Time Delay Estimation Based on Robust Cyclic Correlation Estimator


Article Preview

Based on the proposed efficient cyclic correlation estimator by exploiting normalized infinite norm, this paper develops a robust adaptive time delay estimation method which provides additional robustness against heavy-tailed noise and when the noise statistics are not fully known. Simulations demonstrate the reliable and robust performance of the proposed cyclic correlation estimator and its corresponding time delay estimation algorithm.



Edited by:

Mohamed Othman




Y. Guo and C. Y. Meng, "Adaptive Time Delay Estimation Based on Robust Cyclic Correlation Estimator", Applied Mechanics and Materials, Vols. 229-231, pp. 1919-1922, 2012

Online since:

November 2012




[1] W. A. Gardner: Cyclostationarity half a century of research. Signal Processing, Vol. 86, (2006), p.639–697.

[2] Y. Zhang, C. M. Wang and L. M. Colins: Adaptive time delay estimation method with signal selectivity. Acoustics, Speech and Signal Processing Proceedings, Vol. 2 (2002), pp.1477-1480.


[3] M. G. Sánchez, I. Cuiñas and A. Vázquez: Shot noise in actual urban and industrial environments. Microwave Optical Technology Letters, Vol. 34, (2002), p.112–115.

[4] G. R. Arce. Nonlinear Signal Processing: A Statistical Approach. New York: Wiley (2005).

[5] S. Barmada, A. Musolino, M. Raugi, and et al: A wavelet based method for the analysis of impulsive noise due to switch commutations in Power Line Communication (PLC) systems. IEEE Transactions on Smart Grid, Vol. 2, (2011), pp.80-89.


[6] T. E. Biedka, L. Mili and J. H. Reed: Robust estimation of cyclic correlation in contaminated Gaussian noise. The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, Vol. 1 (1995), p.511 – 515.


[7] D. F. Zha, Z. Zheng and X. Y. Gao: Robust time delay estimation method based on fractional lower order cyclic statistics. International Conference on Wireless Communications, Networking and Mobile Computing (2007), p.1304 – 1307.