A new deniosing method in spread spectrum systems based on wavelet transform

Wavelets are good decorrelators capable of separating signal from noise and have been used in denoising methods recently. Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are robust to intentional jamming. In such systems, noise cancellation can be very effective to improve performance. In this paper we propose a new denoising method in spread spectrum systems based on wavelet transform and compare it with general spread spectrum denoising methods

[1]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[2]  祐介 日和崎.  Stephane Mallat, "A Wavelet Tour of Signal Processing (2nd edition)," Academic Press, 1999(私のすすめるこの一冊,コーヒーブレーク) , 2006 .

[3]  C. Cook,et al.  An introduction to spread spectrum , 1983, IEEE Communications Magazine.

[4]  Feng Wei,et al.  High resolution time-delay estimation based on wavelet denoising , 2004, 2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914).

[5]  P. D. J. Clark,et al.  Enhanced PN code tracking and detection using wavelet packet denoising , 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

[6]  K. C. Ho,et al.  On improving the accuracy of a wavelet based identifier to classify CDMA signal and GSM signal , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

[7]  I. Kirsteins.  High resolution time delay estimation , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  Roger L. Peterson,et al.  Introduction to Spread Spectrum Communications , 1995 .

[9]  Baiqin Liu,et al.  Identification of CDMA signal and GSM signal using the wavelet transform , 1999, 42nd Midwest Symposium on Circuits and Systems (Cat. No.99CH36356).