Title :
An approximate analytic expression for spectral correlation function of GMSK signal
Author :
Yunze Gu ; Hao Zhang ; Xiqin Wang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
Spectral correlation function (SCF) is an important tool for analyzing cyclostationary signals. Only a few kinds of communication signals have analytic form for their SCF. This paper proposes a simple analytic expression for SCF of the well-known GMSK signal using super-Gaussian function. Numerical results show the validity of our approximation.
Keywords :
Gaussian processes; correlation methods; minimum shift keying; spectral analysis; GMSK signal spectral correlation function; SCF; approximate analytic expression; cyclostationary signal analysis; superGaussian function; Accuracy; Correlation; Linear approximation; Modulation; Time-domain analysis; Wireless communication; Analytic Expression; GMSK; Gaussian Function; Spectral Correlation Function;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/ChinaSIP.2015.7230370
