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Clutter-Masked Waveform Design for LPI/LPD Radarcom Signal Encoding.

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This study introduces a novel method for secure radar-communication (radarcom) signals using clutter modeling. The technique masks transmissions as clutter, enhancing security in adversarial environments.

Keywords:
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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Communications Engineering

Background:

  • Clutter interference in radar systems can mask legitimate targets and compromise communication security.
  • Existing methods for clutter mitigation often do not address secure communication needs.

Purpose of the Study:

  • To develop a method for in situ clutter deconvolution and modeling using Ultra-Wideband (UWB) radar data.
  • To utilize clutter models for secure encoding of radar-communication (radarcom) signals.
  • To evaluate the communication and radar performance of the proposed secure radarcom signals.

Main Methods:

  • Experimental acquisition of UWB radar data in a laboratory setting.
  • Development of an in situ clutter deconvolution and modeling technique.
  • Random sequence encoding of radarcom signals using generated clutter models.
  • Performance comparison with linear frequency modulated (LFM) waveforms.

Main Results:

  • Successful clutter modeling from software-defined radar data.
  • Demonstration that clutter-masked radarcom signals are likely to be misinterpreted as noise by unauthorized interceptors.
  • Validation of secure communication capabilities and simultaneous radar sensing performance.

Conclusions:

  • The proposed radarcom design method offers a viable approach for secure communications in challenging, adversarial conditions.
  • The technique effectively balances the dual requirements of secure communication and radar sensing.