Robustness and convergence of adaptive schemes in blind equalization

We pursue a time-domain feedback analysis of adaptive schemes with nonlinear update relations. We consider commonly used algorithms in blind equalization and study their performance in a purely deterministic framework. The derivation employs insights from system theory and feedback analysis, and it clarifies the combined effects of the step-size parameter and the nature of the nonlinear functional on the convergence and robustness performance of adaptive schemes.


Published in:
Conference Record of the 30th Asilomar Conference on Signals, Systems and Computers, 1, 271-275
Presented at:
30th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 3-6, 1996
Year:
1996
Laboratories:




 Record created 2017-12-19, last modified 2018-03-17


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