DocumentCode :
2384778
Title :
Joint power estimation and modulation classification using second- and higher statistics
Author :
Dai, Wei ; Wang, Youzheng ; Wang, Jing
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2002
fDate :
17-21 Mar 2002
Firstpage :
155
Abstract :
Previously developed techniques for modulation classification have assumed that both the signal and noise power are known. However, the signal or noise power estimations require that modulation type is known. To solve the problem, this paper introduces a method for joint power estimation and modulation classification (JPEMC), whose key point is employing the relationships between the second- and higher moments of received signal and signal and noise power. Simulation results demonstrate the efficiency of modulation classification of JPEMC and indicate that the power estimation can be used by later demodulators.
Keywords :
higher order statistics; mobile radio; modulation; parameter estimation; JPEMC; demodulators; higher order statistics; joint power estimation and modulation classification; mobile radio; second order statistics; signal estimation; AWGN; Additive white noise; Demodulation; Equations; Gaussian noise; Personal communication networks; Power engineering and energy; Signal processing; Statistics; Wireless LAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2002. WCNC2002. 2002 IEEE
Print_ISBN :
0-7803-7376-6
Type :
conf
DOI :
10.1109/WCNC.2002.993481
Filename :
993481
Link To Document :
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