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A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals.

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Summary
This summary is machine-generated.

This study introduces a low-complexity radar algorithm using random dual chirps to solve the blind-speed problem in moving target indication (MTI). The new frequency-modulated continuous wave (FMCW) method effectively detects targets while reducing computational load.

Keywords:
DopplerFMCW radarlow complexitysurveillance

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Electromagnetics

Background:

  • Moving Target Indicator (MTI) algorithms are crucial for clutter removal in surveillance radar.
  • A significant limitation of MTI is the 'blind-speed problem,' preventing detection of targets at specific velocities.

Purpose of the Study:

  • To develop a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm.
  • To overcome the blind-speed problem inherent in traditional MTI algorithms.
  • To reduce the overall computational complexity of radar signal processing.

Main Methods:

  • Implementation of random dual chirps for MTI processing.
  • Random selection of two beat signals per frame to mitigate blind speeds.
  • One-dimensional Fast Fourier Transform (FFT) for initial range detection.
  • Conditional multidimensional FFT application upon target detection to minimize computation.

Main Results:

  • The proposed algorithm effectively detects moving targets.
  • Demonstrated avoidance of the blind-speed problem.
  • Achieved significant reduction in computational complexity compared to conventional methods.
  • Experimental validation using an FMCW radar system confirmed effectiveness in real-world scenarios.

Conclusions:

  • The novel FMCW radar algorithm offers a low-complexity solution for surveillance.
  • Successfully addresses the blind-speed issue in MTI radar.
  • Provides a practical and efficient method for moving target detection.