| 一种新的EBPSK通信系统检测器 |
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| 引用本文： | 靳一,吴乐南,王继武,余静.一种新的EBPSK通信系统检测器[J].东南大学学报,2011(3):244-247. |
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| 作者姓名： | 靳一 吴乐南 王继武 余静 |
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| 作者单位： | 东南大学信息科学与工程学院 |
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| 基金项目： | The National Natural Science Foundation of China (No.60872075);the National High Technology Research and Development Program of China (863 Program) (No. 2008AA01Z227) |
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| 摘 要： | 为了提高扩展的二元相移键控(EBPSK)接收机的检测精度,设计了一种基于改进粒子群算法(IMPSO)和BP神经网络的EBPSK检测器.首先,阐述了EBPSK调制特征及冲击滤波器的特殊滤波机理.然后,提出了基于logistic混沌扰动和Cauchy变异的改进粒子群算法,并利用IMPSO-BP神经网络设计了EBPSK检测器...
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| 关 键 词： | 扩展的二元相移键控 检测器 冲击滤波器 logistic混沌扰动 Cauchy变异 自适应门限判决 |
A new detector in EBPSK communication system |
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| n Yi,u Lenan,g Jiwu,u Jing.A new detector in EBPSK communication system[J].Journal of Southeast University(English Edition),2011(3):244-247. |
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| Authors: | n Yi u Lenan g Jiwu u Jing |
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| Institution: | (School of Information Science and Engineering,Southeast University,Nanjing 210096,China) |
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| Abstract: | In order to raise the detection precision of the extended binary phase shift keying(EBPSK) receiver,a detector based on the improved particle swarm optimization algorithm(IMPSO) and the BP neural network is designed.First,the characteristics of EBPSK modulated signals and the special filtering mechanism of the impacting filter are demonstrated.Secondly,an improved particle swarm optimization algorithm based on the logistic chaos disturbance operator and the Cauchy mutation operator is proposed,and the EBPSK detector is designed by utilizing the IMPSO-BP neural network.Finally,the simulation of the EBPSK detector based on the MPSO-BP neural network is conducted and the result is compared with that of the adaptive threshold-based decision,the BP neural network,and the PSO-BP detector,respectively.Simulation results show that the detection performance of the EBPSK detector based on the IMPSO-BP neural network is better than those of the other three detectors. |
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| Keywords: | extended binary phase shift keying detector impacting filter logistic chaos disturbance Cauchy mutation adaptive threshold-based decision |
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