Volume 2 Issue 2
Apr.  2017
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ZHANG Tian-qi, ZHOU Zheng-zhong. A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals[J]. Journal of Electronic Science and Technology, 2004, 2(2): 1-6.
Citation: ZHANG Tian-qi, ZHOU Zheng-zhong. A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals[J]. Journal of Electronic Science and Technology, 2004, 2(2): 1-6.

A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals

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  • Author Bio:

    ZHANG Tian-qi research interests include: communication, image and speech signal processing, as well as their ASIC and FPGA implementation

  • Received Date: 2002-11-22
  • Publish Date: 2004-06-25

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals

  • Author Bio:

Abstract: In this paper, a new approach is proposed to estimate pseudo noise(PN) sequence in the lower SNR DS/SS signals blindly. This method utilizes the characteristics of self-organization, principal components analysis and extraction of unsupervised neural networks adequately, in addition to its higher-speed operation ability, successfully solve the difficult problem about PN sequence blind estimation. The theoretic analysis and experimental results show that this approach can work very well on lower SNR input signals.

ZHANG Tian-qi, ZHOU Zheng-zhong. A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals[J]. Journal of Electronic Science and Technology, 2004, 2(2): 1-6.
Citation: ZHANG Tian-qi, ZHOU Zheng-zhong. A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals[J]. Journal of Electronic Science and Technology, 2004, 2(2): 1-6.

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