| A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals |
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| 作者姓名： | 张天麒 周正中 |
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| 作者单位： | Graduate School at Shenzhen，Tsinghua University Guangdong Shenzhen 518055 China，School of Communication and Information Engineering，UESTC Chengdu 610054 China |
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| 摘 要： | As the power spectrum density of direct sequence spread spectrum (DS/SS or DS), signals is often much lower than the noises’, the DS signals have the ability to resist interception and interference. But in point of fact, if we have get some parameters of the DS signals, including information symbol period, chip period of the pseudo noise (PN) sequence, we can estimate the PN sequence in DS signals blindly, this has great value for management or interception of DS communications. Ref.1…
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A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals |
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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 Technology of China,2004,2(2). |
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| Authors: | ZHANG Tian-qi ZHOU Zheng-zhong |
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| Affiliation: | 1. Graduate School at Shenzhen, Tsinghua University Guangdong Shenzhen 518055 China
2. School of Communication and Information Engineering, UESTC Chengdu 610054 China |
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| 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. |
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| Keywords: | neural networks direct sequence spread spectrum signal PN sequence |
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