Title :
Blind identification of ARMA channels with periodically modulated inputs
Author :
Giannakis, Georgios B. ; Serpedin, Erchin
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
Previous results have pointed out the importance of inducing cyclostationarity at the transmitter for blind identification of FIR communication channels. The present paper considers the blind identification problem of an ARMA (p,q) channel by exploiting the cyclostationarity induced at the transmitter through periodic encoding of the input. It is shown that causal and stable ARMA (p,q) channels can be uniquely identified from the output second-order cyclic statistics, irrespective of the location of channel poles and zeros and color of additive stationary noise, provided that the cyclostationary input has at least q+1 nonzero cycles
Keywords :
autoregressive moving average processes; channel coding; identification; modulation coding; statistical analysis; ARMA (p,q) channel; ARMA channels; blind identification; cyclostationarity; output second-order cyclic statistics; periodic encoding; periodically modulated inputs; transmitter; Additive noise; Blind equalizers; Colored noise; Communication channels; Finite impulse response filter; Gain control; Parametric statistics; Poles and zeros; Transfer functions; Transmitters;
Journal_Title :
Signal Processing, IEEE Transactions on