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Mixed Incoherent Far-Field and Near-Field Source Localization under Uniform Circular Array.

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Summary
This summary is machine-generated.

This study introduces a new algorithm for accurately locating mixed near-field and far-field sources using a uniform circular array (UCA). The method effectively decouples source angles and ranges, improving localization accuracy for complex signal environments.

Keywords:
least squares methodmixed sourcesparameter estimationphase differenceuniform circular array (UCA)

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Accurate source localization is crucial in various applications, including radar and communications.
  • Distinguishing between near-field and far-field sources presents a significant challenge.
  • Existing methods struggle with mixed source types and complex array geometries.

Purpose of the Study:

  • To develop a high-accuracy algorithm for localizing mixed incoherent near-field and far-field narrow-band sources.
  • To address the difficulty in classifying mixed sources by decoupling their angular and range parameters.
  • To enhance source localization performance using a uniform circular array (UCA).

Main Methods:

  • Decoupling mixed sources' angles and ranges using centro-symmetric sensors' phase differences.
  • Employing the least squares method to estimate azimuth and elevation angles from phase differences.
  • Utilizing one-dimensional (1-D) Multiple Signal Classification (MUSIC) and spatial spectrum for source identification and near-field range estimation.

Main Results:

  • Successfully decoupled angles and ranges of mixed near-field and far-field sources.
  • Achieved high accuracy in estimating both angular and range parameters.
  • Demonstrated superior performance compared to existing algorithms through simulations and comparisons.

Conclusions:

  • The proposed algorithm offers a robust solution for localizing mixed incoherent sources in UCA systems.
  • The method effectively overcomes the limitations of traditional source localization techniques.
  • Validated superior performance and accuracy in complex signal environments.