Sha'ameri, Ahmad Zuri and Tan, J. L. (2008) Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal. EURASIP Journal on Advances in Signal Processing . ISSN 1687-6172
Official URL: http://dx.doi.org/10.1155/2008/408341
Time-frequency distributions (TFDs) are powerful tools to represent the energy content of time-varying signal in both time and frequency domains simultaneously but they suffer from interference due to cross-terms. Various methods have been described to remove these cross-terms and they are typically signal-dependent. Thus, there is no single TFD with a fixed window or kernel that can produce accurate time-frequency representation (TFR) for all types of signals. In this paper, a globally adaptive optimal kernel smooth-windowed Wigner-Ville distribution (AOK-SWWVD) is designed for digital modulation signals such as ASK, FSK, and M-ary FSK, where its separable kernel is determined automatically from the input signal, without prior knowledge of the signal. This optimum kernel is capable of removing the cross-terms and maintaining accurate time-frequency representation at SNR as low as 0dB. It is shown that this system is comparable to the system with prior knowledge of the signal.
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Farah Nadzirah Jamrus|
|Deposited On:||02 Apr 2009 02:57|
|Last Modified:||17 Feb 2012 05:31|
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