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Insertion of diagonal loading into the multistage Wiener filter

Authors: J.D. Hiemstra; M.E. Weippert; H.N. Nguyen; J.S. Goldstein;

Insertion of diagonal loading into the multistage Wiener filter

Abstract

Diagonal loading is a well-known technique for adding robustness to beamformer solutions. Diagonal loading will add robustness to steering vector direction-of-arrival mismatch; element position, gain, and/or phase perturbations; "statistical" mismatch due to finite sample support; etc. In a traditional sample matrix inversion implementation of the minimum variance distortionless response beamformer diagonal loading can be inserted by adding a scaled version of the identity matrix to the sample covariance matrix. Other adaptive beamformers (e.g. LMS) have their own approaches for adding diagonal loading. In this paper we describe how diagonal loading can be added to the multistage Wiener filter (MWF). Previous published results have developed one form of loading for the MWF called "error loading". In this paper we introduce two new forms of loading and show that each of these is equivalent to diagonal loading, whereas, error loading is distinct.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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