DocumentCode :
2956911
Title :
Comparison between the performance of spectrogram and multi-window spectrogram in digital modulated communication signals
Author :
Lynn, Tan Jo ; Bin Sha´ameri, Ahmad Zuri
Author_Institution :
Univ. Teknologi Malaysia, Johor
fYear :
2007
fDate :
14-17 May 2007
Firstpage :
97
Lastpage :
101
Abstract :
In this paper, we compare the performance of spectrogram and a new variation of multi-window (MW) spectrogram for various digital modulated signals. The windows used in the MW spectrogram are combination of Slepian sequences instead of using all the sequences. The comparison in the time-frequency representation is made in terms of main-lobe width (MLW) and peak to side-lobe ratio (PSLR) of the signals used. In the presence of noise, performance is compared in terms of variance in the estimated bit duration frequency. Bit duration and frequency are estimated from the instantaneous frequency (IF), which is derived from the time-frequency representation. The bias in the estimated bit duration is also calculated to compare the performance between spectrogram and MW spectrogram. In general, the time-frequency representation of the spectrogram is better than MW spectrogram. However, MW spectrogram is superior to spectrogram in terms of bit duration estimation.
Keywords :
modulation; sequences; spectroscopy; time-frequency analysis; Slepian sequences; bit duration estimation; digital modulated communication signals; digital modulated signals; multiwindow spectrogram; time-frequency representation; AWGN; Additive white noise; Amplitude shift keying; Digital modulation; Frequency estimation; Frequency shift keying; Gaussian noise; Phase shift keying; Spectrogram; Time frequency analysis; Slepian sequence; digital modulation signals; multi-window; spectrogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications and Malaysia International Conference on Communications, 2007. ICT-MICC 2007. IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-1094-1
Electronic_ISBN :
978-1-4244-1094-1
Type :
conf
DOI :
10.1109/ICTMICC.2007.4448613
Filename :
4448613
Link To Document :
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