An Affine Projection Algorithm With Periodically Evolved Update Interval

We propose a novel affine projection algorithm (APA) that updates the weights intermittently. While the conventional APA updates the weights at each time instant, the proposed APA performs an intermittent update of the weights through dynamically adjusting the update interval. The adjustment of the...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2011-11, Vol.58 (11), p.763-767
Main Authors: Kim, Kwang-Hoon, Choi, Young-Seok, Kim, Seong-Eun, Song, Woo-Jin
Format: Article
Language:English
Subjects:
Adaptive filters
affine projection algorithm (APA)
Algorithm design and analysis
Projection algorithms
Signal processing algorithms
Steady-state
update interval
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Summary:We propose a novel affine projection algorithm (APA) that updates the weights intermittently. While the conventional APA updates the weights at each time instant, the proposed APA performs an intermittent update of the weights through dynamically adjusting the update interval. The adjustment of the update interval is accomplished by comparing the squared output error with a threshold derived from the steady-state mean-squared error. Experimental results show that the proposed algorithm has improved performance in terms of its convergence rate and steady-state error while reducing the number of updates.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2011.2168023