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A Neural Network Method for Blind Signature Waveform Estimation of Synchronous CDMA Signals

  • Tianqi Zhang
  • Zengshan Tian
  • Zhengzhong Zhou
  • Yujun Kuang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

A principal component analysis (PCA) neural network (NN) based on signal eigen-analysis is proposed to blind signature waveform estimation in low signal to noise ratios (SNR) direct sequence synchronous code-division multiple-access (S-CDMA) signals. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, which duration is a period of signature waveform. Then an autocorrelation matrix is computed and accumulated by these signal vectors one by one. Since we have assumed that the synchronous point between the symbol waveform and observation window have been known, the signal vectors may be sampled and divided at the beginning of this synchronous point, therefore, each vector must contain all information of signature waveforms. In the end, the signature waveforms can be estimated by the principal eigenvectors of autocorrelation matrix blindly. Additionally, the eigen-analysis method becomes inefficiency when the estimated vector becomes longer. In this case, we can use the PCA NN method to realize the blind signature waveform estimation from low SNR input signals effectively.

Keywords

Signature Waveform Principal Eigenvector Autocorrelation Matrix Pseudo Noise Blind Estimation 
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 2006

Authors and Affiliations

  • Tianqi Zhang
    • 1
    • 2
  • Zengshan Tian
    • 1
  • Zhengzhong Zhou
    • 1
    • 2
  • Yujun Kuang
    • 1
    • 2
  1. 1.School of Communication and Information EngineeringChongqing University of Posts and Telecommunications (CQUPT)ChongqingChina
  2. 2.Research Centre for Optical Internet and Mobile Information Networks (COIMIN)University of Electronic Science and Technology of ChinaChengduChina

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