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Research on Cognitive Marine Radar Based on LFM Waveform Control.

Yi Liu1, Shufang Zhang2, Jidong Suo3

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PubMed
Summary

This study introduces a cognitive marine radar system that optimizes transmitted signals using three control parameters. The novel approach significantly reduces emission energy by 15.9 dB compared to traditional marine radar systems.

Keywords:
cognitive radarenvironment protection radarmarine radarpulse compression radarwaveform control

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Area of Science:

  • Electrical Engineering
  • Oceanography
  • Signal Processing

Background:

  • Traditional marine radar systems utilize fixed parameters, limiting adaptability to dynamic environments.
  • Cognitive radar technology offers adaptive signal processing capabilities for enhanced performance.
  • Marine radar applications require efficient energy usage and robust detection.

Purpose of the Study:

  • To investigate the application of cognitive radar principles to marine radar systems.
  • To develop a cognitive marine radar structure and a transmitted signal model with adaptable control parameters.
  • To establish a waveform control parameter selection method minimizing emission energy while ensuring effective target detection.

Main Methods:

  • A cognitive marine radar structure and a transmitted signal model with three control parameters (m, n, p) were constructed.
  • A selection method for waveform control parameters was developed, prioritizing minimum emission energy based on target spatial distribution and detection effectiveness.
  • A cognitive marine radar test system was built to validate the proposed method.

Main Results:

  • The proposed method allows flexible generation of m × n × p signal groups by adjusting control parameters without hardware reconstruction.
  • Experimental results demonstrated a 15.9 dB reduction in emission energy compared to traditional fixed-parameter pulse compression marine radar.
  • The cognitive marine radar system proved more convenient for technical realization and adaptable to waveform changes.

Conclusions:

  • The developed cognitive marine radar approach offers significant energy savings and enhanced flexibility.
  • The method facilitates the practical implementation of cognitive radar in marine applications.
  • This advancement contributes to more efficient and adaptable marine surveillance and navigation systems.