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