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Interference Suppression Algorithm Based on Short Time Fractional Fourier Transform.

Xiaolu Guo1, Jia Su2, Nan Zhu1

  • 1School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using short-time fractional Fourier transform (STFrFT) to effectively suppress narrowband and wideband interference in synthetic aperture radar (SAR) systems. The technique preserves useful signals while removing jamming for improved radar performance.

Keywords:
fractional Fourier transforminterference suppressionshort time

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Area of Science:

  • Signal Processing
  • Radar Systems Engineering
  • Electromagnetic Interference

Background:

  • Synthetic aperture radar (SAR) systems are vulnerable to narrowband and wideband interference, which significantly degrade signal quality.
  • Effective interference suppression is crucial for maintaining SAR operational integrity and data accuracy.

Purpose of the Study:

  • To propose and validate a novel interference suppression method for SAR systems.
  • To enhance the robustness of SAR signals against common jamming techniques.

Main Methods:

  • The proposed method utilizes the short-time fractional Fourier transform (STFrFT) to transform the signal into the time-frequency domain.
  • An adaptive gain coefficient is calculated for the instantaneous frequency spectrum to identify and suppress interference.
  • The useful signal is recovered through an inverse STFrFT operation.

Main Results:

  • The STFrFT-based method effectively suppresses both narrowband and wideband interference.
  • The algorithm demonstrates the ability to preserve the essential characteristics of the useful signal.
  • Simulations and analysis confirm the algorithm's effectiveness with measured SAR data.

Conclusions:

  • The proposed STFrFT-based interference suppression technique is a valid and effective solution for SAR systems.
  • This method offers a significant improvement in signal quality when dealing with jamming signals.
  • The approach is suitable for practical implementation in real-world SAR applications.