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Frequency and 2D Angle Estimation Based on a Sparse Uniform Array of Electromagnetic Vector Sensors

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Abstract

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.

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Correspondence to Fei Ji.

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Ji, F., Kwong, S. Frequency and 2D Angle Estimation Based on a Sparse Uniform Array of Electromagnetic Vector Sensors. EURASIP J. Adv. Signal Process. 2006, 080720 (2006). https://doi.org/10.1155/ASP/2006/80720

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Keywords

  • Frequency Estimate
  • Poynting Vector
  • Angle Estimate
  • Phase Ambiguity
  • Cyclic Phase