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Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and

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Summary

This study optimizes radar waveforms for distributed systems to minimize energy use while maintaining performance. The novel design enhances low probability of intercept (LPI) radar capabilities without disrupting communication systems.

Keywords:
distributed multiple-radar system (DMRS)low probability of intercept (LPI)mutual information (MI)radar waveform designsignal-to-clutter-plus-noise ratio (SCNR)spectral coexistence

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Distributed Multiple-Radar Systems (DMRS) share frequency bands with wireless communication systems.
  • Coexistence poses challenges for radar performance due to interference and energy constraints.

Purpose of the Study:

  • To develop low probability of intercept (LPI) radar waveform design for DMRS.
  • Minimize total transmitted energy while ensuring target detection and characterization.
  • Optimize radar waveforms considering communication signals as interference.

Main Methods:

  • Formulated Signal-to-Clutter-plus-Noise Ratio (SCNR) and Mutual Information (MI) based optimization problems.
  • Employed bisection search technique to solve the waveform optimization problems.
  • Evaluated performance using simulation across various scenarios.

Main Results:

  • Proposed radar waveform design schemes significantly improve LPI performance in DMRS.
  • Achieved optimized transmission waveforms that minimize energy consumption.
  • Demonstrated effective target detection and characterization under interference.

Conclusions:

  • The developed LPI radar waveform design is effective for DMRS.
  • The method successfully balances radar performance with energy efficiency.
  • Ensures seamless coexistence with wireless communication systems.