Title :
Steepest descent algorithm implementation for multichannel blind signal recovery
Author :
Han, H.-D. ; Ding, Zhenyang
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of California, Davis, Davis, CA, USA
Abstract :
In the literature, there exists a number of blind signal recovery algorithms that are implemented as stochastic gradient descent (SGD)-based adaptive schemes. SGD typically has low complexity at the expense of slower convergence. On the other hand, packet-based data transmission in many practical digital communication systems makes it attractive to develop steepest descent (SD) implementation in order to speed-up convergence. This work aims at developing SD implementation of several well-known blind signal recovery algorithms for multi-channel equalisation and source separation. The authors SD formulation is more amenable to additional parametric and signal subspace constraint for faster convergence and superior performance.
Keywords :
MIMO communication; blind equalisers; blind source separation; equalisers; gradient methods; stochastic processes; digital communication systems; multichannel blind signal recovery; multichannel equalisation; packet-based data transmission; signal subspace constraint; source separation; steepest descent algorithm implementation; stochastic gradient descent-based adaptive schemes;
Journal_Title :
Communications, IET
DOI :
10.1049/iet-com.2011.0764