In array signal processing, we most commonly use the spatially white noise model, and most of the high resolution methods are established on such a noise model. However, in real environments, the noise model is often ...
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This paper outlines the evolution of array processing computational techniques and systems and briefly discusses the important concepts of the software and progra,~ing strategies which enable these systems to be used ...
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A new spatio-temporal array signal processing technique for wideband array data is presented that improves the spatial resolution and increases the number of resolvable sources. The method is predicated on digital com...
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In recent years, numerous studies have been devoted to performance analysis of DOA estimators in the context of narrow-band array processing (see for instance [l, 2, 31 among many others). The purpose of this contribu...
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We consider the problem of direction finding in the presence of colored noise whose covariance matrix is unknown. The ambient noise covariance matrix can be modeled by a sum of Hermitian matrices known up to a multipl...
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We investigate a stochastic projected gradient algorithm, which can be used to find a constrained optimum point for a concave or convex objective function subject to nonlinear constraints which form a connected region...
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Detection of the number of signals and estimation of their directions of arrival (DOAs) are fundamental problems in array processing. We present three main contributions to these problems, under the conditional model,...
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Source localisation is among the most important steps in array processing. In this paper, we present a neuromimetic approach in signal processing. A set of neural networks is used to find the azimuth of one or several...
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The relationship between the traditional minimum-variance distortionless response CMVDR) spatial array beam-former and rank reduced, eigenvector, signal subspace spectrum analysis (S3A) is examined. It is shown that h...
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We present a bound on the number of sources identifiable in a common class of array processing models. The bound is applied to determine the maximum number of sources uniquely identifiable in various electromagnetic a...
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