We present an ESPRIT-based algorithm that yields extended-aperture two-dimensional (2D) arrival angle and carrier frequency estimates with a sparse uniform array of electromagnetic vector sensors. The ESPRIT-based frequency estimates are first achieved by using the temporal invariance structure out of the two time-delayed sets of data collected from vector sensor array. Each incident source's coarse direction of arrival (DOA) estimation is then obtained through the Poynting vector estimates (using a vector cross-product estimator). The frequency and coarse angle estimate results are used jointly to disambiguate the cyclic phase ambiguities in ESPRIT's eigenvalues when the intervector sensor spacing exceeds a half wavelength. Monte Carlo simulation results verified the effectiveness of the proposed method. Copyright © 2006 Hindawi Publishing Corporation. All right reserved.
CITATION STYLE
Ji, F., & Kwong, S. (2006). Frequency and 2D angle estimation based on a sparse uniform array of electromagnetic vector sensors. Eurasip Journal on Applied Signal Processing, 2006. https://doi.org/10.1155/ASP/2006/80720
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