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Open AccessArticle

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm

1
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, 00185 Roma RM, Italy
2
Department of Signal Theory and Communications, Universidad Carlos III de Madrid, 28903 Getafe, Spain
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(1), 2; https://doi.org/10.3390/a12010002
Received: 3 December 2018 / Revised: 12 December 2018 / Accepted: 14 December 2018 / Published: 20 December 2018
(This article belongs to the Special Issue Adaptive Filtering Algorithms)
The combination of adaptive filters is an effective approach to improve filtering performance. In this paper, we investigate the performance of an adaptive combined scheme between two adaptive multiple-input single-output (MISO) filters, which can be easily extended to the case of multiple outputs. In order to generalize the analysis, we consider the multichannel affine projection algorithm (APA) to update the coefficients of the MISO filters, which increases the possibility of exploiting the capabilities of the filtering scheme. Using energy conservation relations, we derive a theoretical behavior of the proposed adaptive combination scheme at steady state. Such analysis entails some further theoretical insights with respect to the single channel combination scheme. Simulation results prove both the validity of the theoretical steady-state analysis and the effectiveness of the proposed combined scheme. View Full-Text
Keywords: combination of adaptive filters; steady-state performance; multichannel adaptive filtering; affine projection algorithm combination of adaptive filters; steady-state performance; multichannel adaptive filtering; affine projection algorithm
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Comminiello, D.; Scarpiniti, M.; Azpicueta-Ruiz, L.A.; Uncini, A. Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm. Algorithms 2019, 12, 2.

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