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A Novel Detection Method for Weak Harmonic Signal with Chaotic Noise
Author(s) -
Huadong Wang
Publication year - 2020
Publication title -
traitement du signal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.279
H-Index - 11
eISSN - 1958-5608
pISSN - 0765-0019
DOI - 10.18280/ts.370316
Subject(s) - chaotic , noise (video) , signal (programming language) , harmonic , acoustics , computer science , speech recognition , mathematics , pattern recognition (psychology) , artificial intelligence , physics , image (mathematics) , programming language
Received: 10 January 2020 Accepted: 9 April 2020 The bit error induced by the chaotic noise is a serious problem among weak harmonic signal detection methods for wireless network environment. To solve the problem, this paper puts forward a weak harmonic signal detection method for network environment with chaotic noise. Firstly, the real-time transmission signal was collected from the wireless network, and the noise signal was extracted and suppressed in the light of the chaotic features of the signal. In this way, the detection accuracy of weak harmonic signal will not be affected by the noise signal. Then, the detection amplitude and frequency were determined according to the effective values of harmonic components and harmonic frequency, facilitating the detection of weak harmonic signal. Experimental results show that our method outputted a lower bit error rate (BER) than existing methods in weak harmonic signal detection, and outperformed the contrastive methods in reliability and performance.

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