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This study introduces a novel digital coding technique to reduce noise in Doppler tolerant radar systems. The method enhances target detection accuracy in complex, multi-target environments.

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Doppler radardigital codesmat-labtarget detectionwindows

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Applied Mathematics

Background:

  • Advancements in battlefield and surveillance technologies necessitate improved radar target detection.
  • Current Doppler tolerant radar systems require further noise mitigation for accurate target identification.
  • Existing theories and models for target detection need enhancement, particularly in minimizing noise below the radar threshold.

Purpose of the Study:

  • To introduce a digital coding technique for noise mitigation in Doppler tolerant radar.
  • To develop multi-criteria digital code combinations using discrete mathematics.
  • To optimize target detection capabilities in multi-target environments with Doppler effects.

Main Methods:

  • Development of a digital coding technique to reduce noise and improve target visibility.
  • Creation of multi-criteria digital code combinations based on discrete mathematics.
  • Utilizing MATLAB for testing auto-correlation, cross-correlation properties, and ambiguity functions.

Main Results:

  • The digital coding technique effectively mitigates noise, creating clearer detection windows.
  • Designed codes demonstrate optimized auto-correlation and cross-correlation properties.
  • Simulations confirm enhanced detection of static and moving targets in Doppler-affected, multi-target scenarios.

Conclusions:

  • The proposed digital coding technique significantly enhances target detection in Doppler tolerant radar.
  • The developed codes provide a robust method for improving radar performance in complex environments.
  • This approach offers a pathway to more accurate surveillance and battlefield applications.