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