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Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

337
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
337

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Related Experiment Video

Updated: Jun 4, 2025

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
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Phased Array Antenna Calibration Based on Autocorrelation Algorithm.

Xuan Luong Nguyen1, Nguyen Trong Nhan2, Thanh Thuy Dang Thi1

  • 1Faculty of Physics, VNU University of Science, Ha Noi 100000, Vietnam.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary
This summary is machine-generated.

A new autocorrelation algorithm offers more accurate phased array antenna calibration in noisy conditions. This method improves amplitude and phase shift determination compared to traditional techniques.

Keywords:
amplitude errorautocorrelation algorithmfar-field probephase errorphased array antennaradiation pattern

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Area of Science:

  • * Electrical Engineering
  • * Antenna Theory
  • * Signal Processing

Background:

  • * Phased array antennas require precise calibration for optimal performance.
  • * Traditional calibration methods struggle in noisy environments with interference.
  • * Existing methods like rotating-element electric-field vector (REV) have limitations in accuracy.

Purpose of the Study:

  • * To investigate and present a mathematical model for an autocorrelation algorithm for phased array antenna calibration.
  • * To compare the proposed autocorrelation method with traditional REVmax and REVmin techniques.
  • * To evaluate the effectiveness of the autocorrelation method in noisy environments.

Main Methods:

  • * Development of a mathematical model for the autocorrelation calibration method.
  • * Application of the method to a phased array antenna using far-field scanning.
  • * Comparison with rotating-element electric-field vector methods (REVmax and REVmin).
  • * Experimental verification at 3 GHz.

Main Results:

  • * The autocorrelation method demonstrated higher accuracy in determining amplitude and phase shifts.
  • * Measured peak gain in the E-plane improved significantly compared to REV methods.
  • * Phase error was substantially reduced using the autocorrelation method.
  • * The method proved effective even with internal noise and external interference.

Conclusions:

  • * The proposed autocorrelation algorithm provides a more accurate calibration solution for phased array antennas.
  • * It is effective in challenging environments with noise and interference.
  • * Suitable for large-scale phase calibration in both factory and field settings.