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DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT

Na Wu1, Zhiyu Qu2, Weijian Si3

  • 1Department of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. wunahmc@163.com.

Sensors (Basel, Switzerland)
|December 17, 2016
PubMed
Summary
This summary is machine-generated.

A new fourth-order cumulant-based ESPRIT algorithm estimates direction of arrival (DOA) and polarization for uniform circular electromagnetic vector sensor arrays (EVSAs). This method overcomes limitations of traditional ESPRIT for circular array configurations.

Keywords:
DOA and polarization estimationESPRIT algorithmelectromagnetic vector sensor array (EVSA)fourth-order cumulantrotation invariantuniform circular array

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Area of Science:

  • Array signal processing
  • Electromagnetic vector sensor arrays (EVSAs)

Background:

  • Traditional ESPRIT is limited to uniform linear/rectangular arrays.
  • ESPRIT cannot be applied to uniform circular EVSAs due to rotational invariance limitations.

Purpose of the Study:

  • To propose a novel fourth-order cumulant-based ESPRIT algorithm.
  • To enable joint estimation of DOA and polarization for uniform circular EVSAs.

Main Methods:

  • Utilizes fourth-order cumulant to create a virtual extended array.
  • Derives rotation invariant sub-arrays from the virtual array.
  • Applies ESPRIT and parameter matching for DOA and polarization estimation.

Main Results:

  • Successfully estimates DOA and polarization for uniform circular EVSAs.
  • The closed-form parameter estimation reduces computational complexity.
  • Numerical simulations validate the algorithm's effectiveness.

Conclusions:

  • The proposed fourth-order cumulant-based ESPRIT algorithm effectively addresses limitations of traditional ESPRIT for circular arrays.
  • This method provides an efficient solution for joint DOA and polarization estimation in uniform circular EVSA systems.