Title :
Adaptive blind SIMO identification: derivation of an optimal step size for the unconstrained multichannel LMS algorithm
Author :
Huang, Yiteng ; Benesty, Jacob ; Chen, Jingdong
Author_Institution :
Lucent Technol. Bell Labs., Murray Hill, NJ, USA
Abstract :
Adaptive algorithms for blindly identifying SIMO systems are appealing because of their computational efficiency and capability of continuously tracking a time-varying system. Adaptive multichannel LMS (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 unconstrained MCLMS algorithm is proposed and its performance is evaluated with simulations.
Keywords :
adaptive estimation; channel estimation; least mean squares methods; time-varying systems; transient response; adaptive algorithms; adaptive blind SIMO identification; blind channel identification; channel impulse response estimation; computational efficiency; multichannel LMS algorithm; time-varying system; unit-norm constraint; Adaptive algorithm; Adaptive systems; Additive noise; Algorithm design and analysis; Computational efficiency; Computational modeling; Finite impulse response filter; Jacobian matrices; Least squares approximation; Time varying systems;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415774
