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Ambiguity Resolution for Passive 2-D Source Localization with a Uniform Circular Array.

Jinlong Xin1, Guisheng Liao2,3, Zhiwei Yang4,5

  • 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China. hixd12@163.com.

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Summary
This summary is machine-generated.

This study introduces two new phase-based algorithms for accurately locating a single signal source using a uniform circular array (UCA). These methods effectively resolve phase ambiguity, improving localization accuracy and offering greater flexibility in array design.

Keywords:
2-D source localizationarray signal processingphase ambiguity resolutionuniform circular array

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Passive source localization is crucial in various applications.
  • Existing phase-based methods often struggle with phase ambiguity and array radius limitations.
  • Uniform Circular Arrays (UCA) offer advantages in angular estimation.

Purpose of the Study:

  • To propose novel phase-based algorithms for single source localization using a UCA.
  • To address and resolve phase ambiguity in signal observation models.
  • To enhance estimation accuracy and flexibility in array radius selection.

Main Methods:

  • Derivation of the relationship between phase differences and signal angles (azimuth and elevation).
  • Development of two algorithms: phase integral accumulation and randomized Hough transform (RHT) for ambiguity resolution.
  • Application of a least squares (LS) algorithm using unambiguous phase differences for angle estimation.

Main Results:

  • The proposed algorithms effectively resolve phase ambiguity under both unambiguous-relative phase observation model (UARPOM) and ambiguous-relative phase observation model (ARPOM).
  • Closed-form estimates for azimuth and elevation angles are achieved with improved accuracy compared to existing methods.
  • Demonstrated flexibility in array radius selection, broadening practical applicability.

Conclusions:

  • The novel phase-based algorithms provide accurate and robust passive source localization with UCAs.
  • The developed methods overcome limitations of previous techniques regarding phase ambiguity and array design.
  • Simulation results validate the effectiveness and practical advantages of the proposed approach.