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Combined adaptive beamforming schemes for nonstationary interfering noise reduction.

Authors :
Comminiello, Danilo
Scarpiniti, Michele
Parisi, Raffaele
Uncini, Aurelio
Source :
Signal Processing. Dec2013, Vol. 93 Issue 12, p3306-3318. 13p.
Publication Year :
2013

Abstract

Abstract: This paper introduces new adaptive beamforming methods for nonstationary noise reduction, designed to be robust against broadband interfering signals. In particular, we propose combined beamforming schemes within a standard adaptive beamforming system, such as the generalized sidelobe canceller (GSC). The novelty of such combined adaptive beamformers relies on the use of different adaptive sidelobe cancelling structures which allow the system to achieve robustness in nonstationary noisy environments. The combined structures are based on the convex combination of two multiple-input single-output (MISO) adaptive systems with complementary capabilities. The whole beamformer benefits from such combination and results to be able to preserve the best properties of each system. We introduce two different adaptive schemes, whose difference lies in the way of combining the MISO systems. Moreover, we present a further adaptive beamforming scheme which generalizes the previous techniques, thus improving the robustness against nonstationary interfering signals in multisource environments. The effectiveness of the proposed systems is also assessed in a nonstationary dense multipath environment. The experiments show that the proposed combined beamforming schemes are capable of enhancing the desired signal even in the presence of nonstationary interfering signals. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01651684
Volume :
93
Issue :
12
Database :
Academic Search Index
Journal :
Signal Processing
Publication Type :
Academic Journal
Accession number :
89884788
Full Text :
https://doi.org/10.1016/j.sigpro.2013.05.014