[1] Jin YiWu Lenan, Wang JiwuYu Jing,. A new detector in EBPSK communication system [J]. Journal of Southeast University (English Edition), 2011, 27 (3): 244-247. [doi:10.3969/j.issn.1003-7985.2011.03.003]

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A new detector in EBPSK communication system()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

27

Issue:

2011 3

Page:

244-247

Research Field:

Information and Communication Engineering

Publishing date:

2011-09-30

Info

Title:

A new detector in EBPSK communication system

Author(s):

Jin YiWu Lenan;  Wang JiwuYu Jing

School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Keywords:

extended binary phase shift keying;  detector;  impacting filter;  logistic chaos disturbance;  Cauchy mutation;  adaptive threshold-based decision

PACS:

TN919.72

DOI:

10.3969/j.issn.1003-7985.2011.03.003

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.

References:

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[2] Wu Lenan, Feng Man. On BER performance of EBPSK-MODEM in AWGN channel[J]. Sensors, 2010, 10(4):3824-3834.
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[5] Gao Peng. On impacting filter in UNB receiver[D]. Nanjing: School of Information Science and Engineering of Southeast University, 2010.
[6] Hu Jie, Zeng Xiangjin. A hybrid PSO-BP algorithm and its application[C]//2010 Sixth International Conference on Natural Computation. Yantai, China, 2010:2520-2523.
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[8] Meng Hongji, Zheng Peng, Wu Rongyang, et al. A hybrid particle swarm algorithm with embedded chaotic search[C]//Proc of the 2004 IEEE Conference on Cybernetics and Intelligent Systems. Singapore, 2004:367-371.
[9] Diao Dongyu, Zhao Yingkai. Adaptive particle swarm optimization algorithm with double mutation operators[J]. Computer Engineering and Design, 2009, 30(5):1186-1188.
[10] Feng Man, Gao Peng, Wu Lenan. Analysis and simulation of special filtering based on ultra narrow band modulated signal[J]. Journal of Southeast University: Natural Science Edition, 2010, 40(2):227-230.(in Chinese)
[11] Feng Man, Wu Lenan. Special nonlinear filter and extension to Shannon’s channel capacity[J]. Digital Signal Processing, 2009, 19(5): 861-873.
[12] Kennedy J, Eberhart R C. Particle swarm optimization[C]//Proceedings of the IEEE International Conference on Neural Networks. Perth, WA, Australia, 1995: 1942-1948.
[13] Shi Y, Eberhart R C. A modified particle swarm optimizer[C]//IEEE International Conference of Evolutionary Computation. New York: IEEE Press, 1998:69-73.

Memo

Memo:

Biographies: Jin Yi(1984—), male, graduate; Wu Lenan(corresponding author), male, doctor, professor, wuln@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.60872075), the National High Technology Research and Development Program of China(863 Program)(No.2008AA01Z227).
Citation: Jin Yi, Wu Lenan, Wang Jiwu, et al. A new detector in EBPSK communication system[J].Journal of Southeast University(English Edition), 2011, 27(3):244-247.[doi:10.3969/j.issn.1003-7985.2011.03.003]

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