Title :
Blind identification and equalization of MA channels for QAM communication signals
Author :
Schell, Stephan V. ; Smith, Dale L.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Presents a new method for blind identification and equalization of moving average (MA) channels for QAM communication signals. Previous results on identifiability of nonminimum-phase MA systems show that the statistics of second-order cyclostationarity at the output are sufficient for identifiability of almost all such systems. Consequently, a new method using only second-order statistics of cyclostationarity in a least-squares framework is proposed. The method can also be interpreted as maximizing the conditional likelihood of the received data under reasonable assumptions
Keywords :
equalisers; higher order statistics; identification; least squares approximations; moving average processes; quadrature amplitude modulation; signal detection; telecommunication channels; MA channels; QAM communication signals; blind identification; conditional likelihood; equalization; least-squares framework; moving average channels; moving average processes; received data; second-order cyclostationarity; second-order statistics; Blind equalizers; Computer simulation; Digital communication; Matched filters; Mathematical model; Mobile communication; Phase shift keying; Quadrature amplitude modulation; Signal processing; Statistics;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342618
