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A Sequential Optimization Calibration Algorithm for Near-Field Source Localization.

Jingjing Li1, Xianxiang Yu2, Guolong Cui3

  • 1Kexin College Hebei University of Engineering, Handan 056038, China. woaichoupi@126.com.

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Summary
This summary is machine-generated.

This study introduces a new method for locating near-field sources using nonuniform linear arrays, even with sensor errors. The technique effectively estimates both source positions and sensor errors simultaneously.

Keywords:
a sequential optimization calibration methodnear-field source location problemsensor gain and phase errors

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Area of Science:

  • Signal processing
  • Array signal processing
  • Electromagnetics

Background:

  • Near-field source location is crucial in various applications.
  • Nonuniform linear arrays (non-ULA) offer advantages over uniform arrays.
  • Sensor gain and phase errors degrade array performance.

Purpose of the Study:

  • To develop a method for near-field source location with non-ULA.
  • To address the challenge of sensor gain and phase errors.
  • To simultaneously estimate source locations and sensor errors.

Main Methods:

  • A sequential optimization calibration method is proposed.
  • Iterative estimation of source locations and sensor errors.
  • Exploitation of imprecise a-priori knowledge of calibration sources.

Main Results:

  • The proposed method effectively estimates near-field source locations.
  • Simultaneous estimation of sensor gain and phase errors is achieved.
  • Numerical simulations validate the algorithm's performance.

Conclusions:

  • The developed algorithm enables joint estimation of source locations and sensor errors.
  • This approach enhances the accuracy of near-field source localization in the presence of calibration errors.
  • The method is effective for nonuniform linear arrays.