NDLI: Improved robustness and accelerated power amplifier identification with adaptive Wiener models in the complex domain

Content Provider	IEEE Xplore Digital Library
Author	Dallinger, R. Rupp, M.
Copyright Year	2012
Description	Author affiliation: Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria (Dallinger, R.; Rupp, M.)
Abstract	Identification of microwave power amplifiers including their memory effects, can be done computationally inexpensive with adaptive Wiener models which consist of a transversal filter followed by a static non-linearity that is parametrised using a polynomial basis. For identification of both blocks by simultaneously running gradient type algorithms, the resulting combined adaptive scheme suffers from low learning speed and vulnerability to instability. If the identification of the two blocks is done one after the other, the stability region is well defined but the achievable error does not even get near the minimum mean square error (MMSE). As a remedy, we propose a repetition of such a consecutive identification. By this, the algorithm allows to reach the MMSE, while stability is preserved. Based on recent results found for the real-valued case, we motivate the use of specific time-variant step-sizes enabling robust and fast simultaneous adaptation in the complex domain. By Monte Carlo simulations, we illustrate the improved performance that is obtained by the proposed algorithms.
Starting Page	787
Ending Page	791
File Size	1997237
Page Count	5
File Format	PDF
ISBN	9781467350501
ISSN	10586393
e-ISBN	9781467350518
DOI	10.1109/ACSSC.2012.6489121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	learning rate Wiener model LMS system identification robustness
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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