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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105906


    Title: Cumulants-based modulation classification technique in multipath fading channels
    Authors: 張大中;Chang, Dah-Chung;Shih, Po-Kuan
    Contributors: 資訊電機學院通訊工程學系
    Keywords: AMC method;AMC performance;automatic modulation classification;Blinds;channel estimation;channel impulse response;Channels;Classification;correct‐classification probability;cumulant‐based modulation classification technique;Fading;fading channels;Gaussian;Gaussian channels;Gaussian noise;higher order statistics;ideal white Gaussian noise channel;modified blind channel estimation method;Modulation;modulation type;multipath channels;multipath fading channels;multipath fading effects;M‐PSK;M‐QAM;normalised fourth‐order cumulant statistics;phase shift keying;probability;quadrature amplitude modulation;received signal;Signal classification;signal classification field;Statistics;white noise;wireless channels
    Date: 2015-01-01
    Issue Date: 2026-04-23 13:00:36 (UTC+8)
    Publisher: Institution of Engineering and Technology;The Institution of Engineering and Technology
    Abstract: 摘要: Automatic modulation classification (AMC) is a classical topic in the signal classification field and is often performed when the modulation type is adaptive. For typical modulation types such as M-PSK and M-QAM, the fourth-order cumulant statistics are usually used for modulation classification. Besides, it is also known that the AMC performance can be seriously degraded by the effects of multipath fading in wireless channels when compared with the ideal white Gaussian noise channel. In this study, a new modulation classification method is proposed, exploring different features of normalised fourth-order cumulant statistics for a modified blind channel estimation method in the multipath fading channel. The relationship between the cumulants of the received signal and the multipath fading effects is established to cope with the channel impulse response in the new algorithm. Simulation results show that the performance of the proposed AMC method is much improved than that of previously proposed ones in terms of the probability of correct classification.
    出版者: The Institution of Engineering and Technology
    出版日期: 2015-04-16
    出處: IET communications, 2015-04, Vol.9 (6), p.828-835
    資源來源: Wiley Online Library Journals [OA] Open Access
    版權: The Institution of Engineering and Technology
    版權: 2021 The Institution of Engineering and Technology
    識別號: ISSN: 1751-8628
    識別號: ISSN: 1751-8636
    識別號: EISSN: 1751-8636
    識別號: DOI: 10.1049/iet-com.2014.0773
    Appears in Collections:[Department of Communication Engineering] journal & Dissertation

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