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Semi-blind calibration for orbital angular momentum generating system using maximal likelihood estimation.

Yi Zhang1, Xiaoyu Sun1, Mingcheng Luo1

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|November 1, 2022
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Summary
This summary is machine-generated.

This study introduces a semi-blind calibration method for uniform circle array (UCA) orbital angular momentum (OAM) systems using a virtual sensor. The technique effectively corrects transducer errors, enabling high-quality vortex beam generation for applications like target detection and communication.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Electromagnetics

Background:

  • Generating high-quality vortex beams with orbital angular momentum (OAM) is crucial for advanced applications.
  • Existing calibration methods for OAM systems can be complex and require precise knowledge of sensor positions.

Purpose of the Study:

  • To develop a semi-blind calibration method for uniform circle array (UCA) OAM generating systems.
  • To enable accurate OAM beam generation without precise knowledge of a virtual receiving sensor array's position.

Main Methods:

  • A virtual receiving sensor array was employed for calibration.
  • A low-complexity maximum likelihood estimate (MLE) algorithm was developed to estimate amplitude and phase errors.
  • Parameter separation was used to simplify the estimation process.

Main Results:

  • The proposed MLE method effectively estimates transducer mismatch parameters in the UCA.
  • Simulations confirmed the method's accuracy in parameter estimation.
  • Experimental results demonstrated successful compensation and generation of a desirable vortex beam.

Conclusions:

  • The semi-blind calibration method offers an effective solution for UCA OAM systems.
  • Accurate OAM beam generation is achievable through transducer compensation.
  • This technique has significant implications for OAM-based target detection and communication systems.