Estimation of nominal direction of arrival and angular spread using an array of sensors
Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
Decoupled estimation of DOA and angular spread for a spatiallydistributed source
IEEE Transactions on Signal Processing
Low-complexity estimators for distributed sources
IEEE Transactions on Signal Processing
Distributed source localization using ESPRIT algorithm
IEEE Transactions on Signal Processing
Parametric localization of distributed sources
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A generalized capon estimator for localization of multiple spread sources
IEEE Transactions on Signal Processing
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In this paper, a concept of contrast of eigenvalues (COE) is introduced to describe the diversity of the eigenvalues of signal covariance matrix. Based on the COE, a novel algorithm is proposed to estimate the central direction of arrival (DOA) and the angular spread of an incoherently distributed (ID) source. Using the proposed method, it is shown that the parameters of not only the narrowly but also the widely spread sources may be accurately obtained with low computational cost. The numerical examples are given to examine the performance of the COE-based estimator under various environments and show that it is indeed effective for both narrowly and widely spread ID sources.