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Performance Evaluation of Multi-Modal Radar Signal Processing in Dense Co-Existent Environments.

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  • 1School of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK.

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Summary
This summary is machine-generated.

This study introduces a multi-modal beamforming technique to combat radar interference, enhancing situational awareness (SA) in dense environments. The approach effectively suppresses interference, improving radar system reliability for automotive and maritime applications.

Keywords:
Doppler Beam SharpeningMIMOMIMO-DBSautomotive radarbeamforminginterference suppressionmaritime radarmulti-modalmutual interferenceradar interferenceself-interferencesynthetic aperture radar

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Sensor Fusion

Background:

  • Wide-scale radar deployment for 360° situational awareness (SA) faces significant interference challenges.
  • Interference, both self and mutual, degrades SA reliability, especially in dense, multi-radar environments operating in the same frequency band.

Purpose of the Study:

  • To evaluate a multi-modal beamforming approach combining unfocused synthetic aperture radar (SAR) with Multiple-Input, Multiple-Output (MIMO) beamforming.
  • To enhance radar resolution and suppress interference in complex operational scenarios.

Main Methods:

  • A novel multi-modal beamforming technique integrating unfocused SAR and MIMO beamforming.
  • Systematic analysis of signal-to-interference-plus-noise ratio (SINR) throughout the processing chain.
  • Validation through extensive simulations and experimental data in automotive and maritime settings.

Main Results:

  • Demonstrated significant interference suppression capabilities of the proposed multi-modal beamforming approach.
  • Quantified improvements in radar resolution and overall system performance.
  • Validated the effectiveness across diverse automotive and maritime environments.

Conclusions:

  • The multi-modal beamforming approach offers a robust solution for mitigating radar interference.
  • This technique enhances the reliability of situational awareness systems in challenging, dense radar environments.
  • The findings support the practical deployment of advanced radar systems in safety-critical applications.