DocumentCode :
1645257
Title :
Statistical Characteristics of Stationary Processes in Cyclic Autocorrelation Based PSK Symbol Rate Estimation
Author :
Yan, Jin ; Hongbing, Ji
Author_Institution :
Xidian Univ., Xian
fYear :
2007
Firstpage :
192
Lastpage :
195
Abstract :
Statistical characteristics of stationary processes in the cyclic autocorrelation based PSK symbol rate estimation are detailedly studied in this letter. The analytic expressions of the means and the variances of those undesired items which are produced by stationary processes are deduced, and the simplified forms for the Gaussian white noise case are also provided. Simulation results are presented to confirm the theoretical conclusions.
Keywords :
Gaussian noise; parameter estimation; phase shift keying; statistical analysis; Gaussian white noise; PSK symbol rate estimation; cyclic autocorrelation; phase shift keying; stationary process; statistical characteristics; Analysis of variance; Autocorrelation; Digital communication; Electronic mail; Frequency estimation; Parameter estimation; Phase shift keying; Signal analysis; Signal processing; White noise; Cyclic Autocorrelation; Cyclostationary; PSK Signal; Stationary Process; Symbol Rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347090
Filename :
4347090
Link To Document :
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