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Steepest descent algorithm implementation for multichannel blind signal recovery

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2 Author(s)
Han, H.-D. ; Electr. & Comput. Eng. Dept., Univ. of California, Davis, Davis, CA, USA ; Ding, Z.

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.

Published in:

Communications, IET  (Volume:6 ,  Issue: 18 )