Chaotic pulse position modulation ultra-wideband system based on particle filtering

Traditional chaotic pulse position modulation (CPPM) system has many drawbacks. It intro- duces delay into the feedback loop, which will lead to divergence of chaotic map easily. The wrong decision of data will cause error propagation. Mismatch of parameters and synchronization error between the rec...

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Published in高技术通讯(英文版) Vol. 19; no. 1; pp. 48 - 52
Main Author 李辉 Zhang Li
Format Journal Article
LanguageEnglish
Published School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454010, P.R.China 01.03.2013
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ISSN1006-6748
DOI10.3772/j.issn.1006-6748.2013.01.009

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Abstract Traditional chaotic pulse position modulation (CPPM) system has many drawbacks. It intro- duces delay into the feedback loop, which will lead to divergence of chaotic map easily. The wrong decision of data will cause error propagation. Mismatch of parameters and synchronization error between the receiver and transmitter will arouse high bit error rate. To solve these problems, a demodulation algorithm of CPPM based on particle filtering is proposed. According to the mathematical model of the system, it tracks the real signal by online separation in demodulation. Simulation results show that the proposed method can track the true signal better than the traditional CPPM scheme. What' s more, it has good synchronization robustness, reduced error propagation by wrong decision and low bit error rate.
AbstractList Traditional chaotic pulse position modulation (CPPM) system has many drawbacks. It intro- duces delay into the feedback loop, which will lead to divergence of chaotic map easily. The wrong decision of data will cause error propagation. Mismatch of parameters and synchronization error between the receiver and transmitter will arouse high bit error rate. To solve these problems, a demodulation algorithm of CPPM based on particle filtering is proposed. According to the mathematical model of the system, it tracks the real signal by online separation in demodulation. Simulation results show that the proposed method can track the true signal better than the traditional CPPM scheme. What' s more, it has good synchronization robustness, reduced error propagation by wrong decision and low bit error rate.
Author 李辉 Zhang Li
AuthorAffiliation School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454010, P. R. China
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Keywords ultra-wideband
chaotic pulse position modulation (CPPM)
chaotic communications
particle filtering
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Notes LiHui, ZhangLi (School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozno 454010, P. R. China)
Traditional chaotic pulse position modulation (CPPM) system has many drawbacks. It intro- duces delay into the feedback loop, which will lead to divergence of chaotic map easily. The wrong decision of data will cause error propagation. Mismatch of parameters and synchronization error between the receiver and transmitter will arouse high bit error rate. To solve these problems, a demodulation algorithm of CPPM based on particle filtering is proposed. According to the mathematical model of the system, it tracks the real signal by online separation in demodulation. Simulation results show that the proposed method can track the true signal better than the traditional CPPM scheme. What' s more, it has good synchronization robustness, reduced error propagation by wrong decision and low bit error rate.
chaotic communications, chaotic pulse position modulation (CPPM), particle filtering, ultra-wideband
11-3683/N
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PublicationTitle 高技术通讯(英文版)
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PublicationYear 2013
Publisher School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454010, P.R.China
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Snippet Traditional chaotic pulse position modulation (CPPM) system has many drawbacks. It intro- duces delay into the feedback loop, which will lead to divergence...
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StartPage 48
SubjectTerms CPPM
同步误差
混沌
粒子滤波
脉冲位置调制
解调算法
超宽带系统
错误传播
Title Chaotic pulse position modulation ultra-wideband system based on particle filtering
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