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author:

Xu, Yiwen (Xu, Yiwen.) [1] (Scholars:徐艺文) | Chen, Wenxiang (Chen, Wenxiang.) [2] | Chen, Zhonghui (Chen, Zhonghui.) [3] (Scholars:陈忠辉) | Wang, Weixing (Wang, Weixing.) [4]

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EI Scopus

Abstract:

Frequency shift keying (FSK) is one of the popular technologies in low-voltage power line carrier (LPLC) communication for its simple implementation and low cost. Nevertheless, the currently existing implementations of it hardly meet the performance requirements of users in a practical LPLC system, which hinders its widespread use. In order to solve the problem, a novel FSK digital demodulation method based on adaptive threshold algorithm is proposed. As a digital demodulation method, it can reduce the negative impacts caused by the hardware accuracy in the system. Meanwhile, the adaptive threshold can adjust itself to the change of noise and attenuation in low-voltage power line channel, which further improves the system performance. Simulation results show that the adaptive threshold in our method can adapt to the change of channel condition under different signal-to-noise ratios (SNR) and attenuation, which is consistent with the theoretical analysis. Thus the problem of how to choose the synchronous detection threshold could be solved effectively and then the system performance is improved accordingly. © 2012 Binary Information Press.

Keyword:

Adaptive algorithms Communication Discrete Fourier transforms Electric lines Frequency shift keying Maximum likelihood estimation Signal to noise ratio

Community:

  • [ 1 ] [Xu, Yiwen]School of Information Science and Technology, Xiamen University, Xiamen 361005, China
  • [ 2 ] [Xu, Yiwen]School of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Chen, Wenxiang]School of Information Science and Technology, Xiamen University, Xiamen 361005, China
  • [ 4 ] [Chen, Zhonghui]School of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
  • [ 5 ] [Wang, Weixing]School of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China

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Source :

Journal of Computational Information Systems

ISSN: 1553-9105

Year: 2012

Issue: 5

Volume: 8

Page: 2215-2222

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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