DocumentCode :
3400586
Title :
Automatic Blind Recognition of Noisy and Faded Digitally Modulated MQAM Signals
Author :
Gulati, Sumeet ; Bhattacharjee, Ratnajit
Author_Institution :
Dept. of Electron. & Commun. Eng., Indian Inst. of Technol., Guwahati
fYear :
2006
fDate :
Sept. 2006
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we propose a modified MSE based automatic blind modulation recognition (ABMR) algorithm for recognizing different rectangular QAM signals. The proposed method is robust to preprocessing errors like error in estimation of carrier frequency, synchronization and extraction of constellation from real band-pass signals. The performance of the proposed algorithm has been evaluated in the both noisy and faded channel through computer simulation
Keywords :
fading channels; feature extraction; frequency estimation; mean square error methods; quadrature amplitude modulation; synchronisation; ABMR; MSE; automatic blind modulation recognition algorithm; carrier frequency estimation; constellation extraction; digital modulation; fading channel; mean square error; noisy channel; real band-pass signal; rectangular MQAM signal; synchronization; Classification algorithms; Computer errors; Constellation diagram; Digital modulation; Frequency estimation; Frequency shift keying; Frequency synchronization; Mean square error methods; Military communication; Quadrature amplitude modulation; Classification; Constellation; MQAM; Mean Square Error (MSE); Modulation; Recognition; Software Defined Radio (SDR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference, 2006 Annual IEEE
Conference_Location :
New Delhi
Print_ISBN :
1-4244-0369-3
Electronic_ISBN :
1-4244-0370-7
Type :
conf
DOI :
10.1109/INDCON.2006.302805
Filename :
4086276
Link To Document :
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