Abstract
A modified principal component analysis (PCA) neural network (NN) based on signal eigen-analysis is proposed to blind estimation of the pseudo noise (PN) sequence in lower signal to noise ratios (SNR) direct sequence spread spectrum (DS-SS) signals. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, which duration is two periods of PN sequence. Then an autocorrelation matrix is computed and accumulated by these signal vectors. The PN sequence can be estimated by the principal eigenvector of autocorrelation matrix in the end. Since the duration of temporal window is two periods of PN sequence, the PN sequence can be reconstructed by the first principal eigenvector only. Additionally, the eigen-analysis method becomes inefficiency when the estimated PN sequence becomes longer. We can use a PCA NN to realize the PN sequence estimation from lower SNR input DS-SS signals effectively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chang, T.Q., Guo, Z.X.: A Neural Networks to Estimation the PN Sequence of DS/SS Signals. the Ninth Telemetry and Telecommand Technology Annual Meeting of China, Haikou, China, pp. 535–537 (1996)
Dminique, F., Reed, J.H.: Simple PN Code Sequence Estimation and Synchronization Technique Using the Constrained Hebbian Rule. Electronics Letters 33, 37–38 (1997)
Zhang, T.Q., Lin, X.K., Zhou, Z.Z.: Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS-SS Signals. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol. 3173, pp. 780–785. Springer, Heidelberg (2004)
French, C.A., Gardener, W.A.: Spread-Spectrum Despreading without the Code. IEEE Trans. Com. 34, 404–407 (1986)
Dixon, R.C.: Spread Spectrum Systems. John Wiley & Sons, Inc., New York (1984)
Haykin, S.: Neural Networks. A Comprehensive Foundation. Prentice Hall PTR, Upper Saddle River (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, T., Lin, X., Zhou, Z., Mu, A. (2005). A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_164
Download citation
DOI: https://doi.org/10.1007/11427391_164
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25912-1
Online ISBN: 978-3-540-32065-4
eBook Packages: Computer ScienceComputer Science (R0)