NDLI: Spectrogram time-frequency analysis and classification of digital modulation signals

Content Provider	IEEE Xplore Digital Library
Author	bin Sha'ameri, A.Z. Tan Jo Lynn
Copyright Year	2007
Description	Author affiliation: Univ. Teknologi Malaysia, Johor (bin Sha'ameri, A.Z.; Tan Jo Lynn)
Abstract	A non cooperative communication environment such as in the HF (high frequency) spectrum is when the signals present are unknown in nature. This is essentially true spectrum monitoring that is an activity in spectrum management and intelligence gathering. An instrument that is used for this purpose is a spectrum surveillance system whose features are: the measurement of signal strength and carrier frequency, the location of transmitters, estimation of modulation parameters and the classifications of signals. This paper describes the design and implement a system to analyze and classify the basic types of digital modulation signals such as amplitude shift-keying (ASK), frequency shift-keying (FSK) and phase shift-keying (PSK). Analysis method is based on the spectrogram time frequency analysis and a rules based approach is used as a classifier. From the time-frequency representation, the instantaneous frequency is estimated which is then used to estimate the modulation type and its parameters. This information is further used as input to the rules based classifier. The robustness of the system is tested in the presence of additive white Gaussian noise. On the average, the classification accuracy is 90 percent for signal-to-noise ratio (SNR) of 2 dB. Thus, the results show that the system gives reliable analysis and classification of signals in an uncooperative communication environment even if the received signal is weak.
Starting Page	113
Ending Page	118
File Size	1101681
Page Count	6
File Format	PDF
ISBN	9781424410934
DOI	10.1109/ICTMICC.2007.4448616
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-14
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital modulation Instruments Time frequency analysis Frequency estimation Spectrogram Radio spectrum management signal classification spectrogram time-frequency analysis Frequency shift keying digital modulation signals Signal analysis Monitoring Signal to noise ratio
Content Type	Text
Resource Type	Article

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