Universiti Teknologi Malaysia Institutional Repository

Automatic analysis and classification of digital modulation signals using spectrogram time-frequency analysis

Lynn, Tan Jo and Sha`ameri, Ahmad Zuri (2007) Automatic analysis and classification of digital modulation signals using spectrogram time-frequency analysis. In: Communications and Information Technologies, 2007. ISCIT '07. International Symposium, 17-19 Oct 2007, Sydney.

[img] Other
Restricted to Repository staff only

710Kb

Official URL: http://dx.doi.org/10.1109/ISCIT.2007.4392146

Abstract

Automatic analysis and classification of signals is important for spectrum monitoring. It enables the system to monitor the conformance of frequency planning from the users. Spectrogram time-frequency analysis can be used to extract useful information from time-varying signals. The information can be used for signal classification. This paper describes the design and implement an automatic 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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:ASK signals, FSK signals, PSK signals, additive white Gaussian noise, amplitude shift-keying, automatic digital modulation signal analysis, automatic digital modulation signal classification, frequency shift-keying, phase shift-keying, rule based classifier, spectrogram time-frequency analysis, spectrum monitoring, time-frequency representation, time-varying signals
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:7478
Deposited By: Norhafizah Hussin
Deposited On:06 Jan 2009 01:54
Last Modified:17 Feb 2012 05:30

Repository Staff Only: item control page