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Ambiguity Resolution for Phase-Based 3-D Source Localization under Fixed Uniform Circular Array.

Xin Chen1, Zhen Liu2, Xizhang Wei3

  • 1School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China. chenxin10@nudt.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a new algorithm for 3-D source localization using uniform circular arrays (UCA). The subarray grouping and ambiguity searching (SGAS) method effectively resolves phase ambiguity in source parameter estimation.

Keywords:
3-D source localizationambiguity searchingphase ambiguitysubarray groupinguniform circular array

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • 3-D source localization using uniform circular arrays (UCA) faces phase ambiguity issues, especially when source wavelength is smaller than array aperture.
  • Existing phase-based algorithms also encounter this significant phase ambiguity problem.

Purpose of the Study:

  • To develop a novel algorithm for resolving angle and phase ambiguity in 3-D source localization with UCAs.
  • To decouple source angles and range by leveraging the centro-symmetry property of UCAs.

Main Methods:

  • Introduced the Subarray Grouping and Ambiguity Searching (SGAS) algorithm.
  • Utilized centro-symmetry in UCAs with an even number of sensors.
  • Employed subarray grouping to obtain multiple ambiguity results and searched for the correct one.
  • Combined unambiguous angles with phase-based algorithms for precise 3-D parameter estimation.

Main Results:

  • The SGAS algorithm successfully decouples source angles and range, resolving angle ambiguity.
  • Achieved unambiguous angle estimation, which then resolves phase ambiguity.
  • Obtained precise 3-D source localization with improved angle and range estimation.
  • Investigated optimal subarray structures and selection criteria for enhanced practical performance.

Conclusions:

  • The proposed SGAS method effectively resolves phase ambiguity in 3-D source localization using UCAs.
  • Simulation results confirm the algorithm's satisfying performance in practical 3-D source localization scenarios.