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Automatic Recognition Of The Digital Communication Signal Modulation

Posted on:2005-03-24Degree:MasterType:Thesis
Country:ChinaCandidate:W X ZhengFull Text:PDF
GTID:2168360122980356Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Aiming at the signals including CW, AM, MASK and MPSK signals usually used in communication system, a new method is proposed on the blind-identification and parameter estimation in this paper on the basis of the methods available of feature extraction.In the aspect of blind-identification, the mutual power spectrumx time-frequency distribution product of two delay signals are used as the features of classification .The cluster analysis and cumulant invariants of MPSK signals are used to automatically classify communication signals.The Wavelet Transform is discussed in the code-width estimation; and the feasibility and effectiveness of the code-width estimation using the spectrum of the bipolar base-band signal are proved.In engineering practice, the algorithms above are realized by MATLAB. Both theoretical analysis and engineering practice justify the effectiveness of the algorithms.
Keywords/Search Tags:communication signals, modulation mode, pattern recognition, parameter estimation, wavelet transform
PDF Full Text Request
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