Title :
On the kurtosis of digitally modulated signals with timing offsets
Author_Institution :
Signal & Inf. Process. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
Abstract :
Beside being a renowned parameter in signal classification, the kurtosis of a source signal is an indicator of the separation difficulty in blind signal separation and deconvolution. Whereas the maximum kurtosis is unbounded, the lower bound on the minimum kurtosis is -2. This means that the family of sub-Gaussian signals, to which most modulated communication signals belong, have an inherent limit in their suitability for blind techniques. Furthermore, the kurtosis of a composite signal has bounds which depend on the kurtoses of the constituent signals. Exact expressions for the kurtoses for a number of digital modulation formats are derived, and the influence of sampling-time accuracy to the kurtosis of the sampled signal is investigated
Keywords :
deconvolution; higher order statistics; phase shift keying; pulse amplitude modulation; quadrature amplitude modulation; signal classification; signal sampling; M-PAM; M-PSK; M-QAM; blind signal deconvolution; blind signal separation; composite signal; digital modulation; digitally modulated signals; fourth order cumulant; modulated communication signals; sampling-time accuracy; separation difficulty; signal classification; signal kurtosis; subGaussian signal family; timing offsets; Convergence; Deconvolution; Digital modulation; Gaussian distribution; Gaussian processes; Information processing; Laboratories; Random variables; Signal processing; Timing;
Conference_Titel :
Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in
Conference_Location :
Taiwan
Print_ISBN :
0-7803-6720-0
DOI :
10.1109/SPAWC.2001.923850