Title :
Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification
Author :
Huang, Yiteng ; Benesty, Jacob ; Chen, Jingdong
Author_Institution :
Bell Labs., Murray Hill, NJ, USA
fDate :
3/1/2005 12:00:00 AM
Abstract :
Adaptive algorithms for blindly identifying single-input multiple-output (SIMO) systems are appealing because of their computational efficiency and capability of continuously tracking a time-varying system. Adaptive multichannel least-mean-square (MCLMS) algorithms (with and without the unit-norm constraint) are analyzed, and the optimal step size is derived. A simple yet effective variable step-size MCLMS algorithm is proposed, and its performance is evaluated with simulations.
Keywords :
identification; least mean squares methods; signal processing; telecommunication channels; time-varying systems; BCI; SIMO; adaptive multichannel LMS algorithm; blind channel identification; least-mean-square algorithm; multichannel signal processing; optimal variable step size; single-input multiple-output systems; time-varying system; Adaptive algorithm; Adaptive signal processing; Additive noise; Convergence; Finite impulse response filter; Least squares approximation; Signal processing algorithms; Time varying systems; Vectors; Wireless communication; Blind Channel Identification (BCI); Least Mean Square (LMS); Multichannel Signal Processing; SIMO Systems; Variable Step-Size Adaptive Algorithm;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.842286
