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• W2396262512 abstract "Acoustic array applications are generally characterized by very large signal bandwidth. Most existing wide-band direction of arrival (DOA) estimators are based on binning in the frequency domain, so that within each bin the signal model is considered approximately narrowband. In this work the basic inconsistency of the commonly used binning is first shown. It is shown that the recent Space Time MUSIC (ST-MUSIC) method, which estimates a set of narrow-band signal subspaces directly from the space-time array covariance and combines them within a Weighted Subspace Fitting paradigm, can restore wide-band DOA estimation consistency in most scenarios, obtaining a large variance improvement at high signal to noise ratio (SNR). In addition, a refined ST-MUSIC subspace weighting is proposed to improve accuracy, especially at low SNR." @default.
• W2396262512 created "2016-06-24" @default.
• W2396262512 creator A5060745159 @default.
• W2396262512 creator A5065269108 @default.
• W2396262512 date "2014-11-13" @default.
• W2396262512 modified "2023-09-23" @default.
• W2396262512 title "Space-time signal subspace estimation for wide-band acoustic arrays" @default.
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• W2396262512 hasPublicationYear "2014" @default.
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