Title :
A blind channel identification algorithm based on matrix outer-product
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
Abstract :
Blind channel identification and equalization have attracted a great deal of attention recently due to their potential application in mobile communications and digital HDTV systems. We present a new parameter estimation algorithm based on matrix outer-product decomposition. This new algorithm can be viewed as a generalized linear prediction algorithm. It produces more accurate channel estimates and is more robust to over-modeling errors in channel order estimate. The superior performance of this new algorithm is demonstrated through simulation examples
Keywords :
digital radio; digital television; high definition television; land mobile radio; matrix decomposition; parameter estimation; prediction theory; blind channel equalization; blind channel identification algorithm; channel order estimate; digital HDTV systems; generalized linear prediction algorithm; matrix outer-product decomposition; mobile communications; over-modeling errors; parameter estimation algorithm; performance; simulation; Blind equalizers; Data communication; HDTV; Higher order statistics; Mobile communication; Prediction algorithms; Quadrature amplitude modulation; Robustness; Signal processing; Vectors;
Conference_Titel :
Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-3250-4
DOI :
10.1109/ICC.1996.541301
