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A Nonlinear Transform-Based Variability Index CFAR Detector for Doppler-Extended Targets.

Lin Cao1,2, Yuxin He1,2, Zongmin Zhao1,2

  • 1Center for Target Cognition Information Processing Science and Technology, Beijing Information Science and Technology University, Beijing 100101, China.

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Summary
This summary is machine-generated.

A new detector improves radar performance for Doppler-extended targets (DETs) by addressing echo spread. The nonlinear transform-based variability index CFAR (DET-NTVI-CFAR) enhances detection probability and maintains false alarm control in complex environments.

Keywords:
Doppler-extended target (DET)constant false alarm rate (CFAR) detectorfrequency-modulated continuous-wave (FMCW) radarrange-Doppler matrix (RDM)

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Target Detection

Background:

  • Frequency-modulated continuous-wave (FMCW) radar systems face challenges in detecting Doppler-extended targets (DETs).
  • Micro-Doppler effects from extended targets spread echo energy, hindering detection by traditional methods.
  • Existing constant false alarm rate (CFAR) detectors struggle with performance degradation and adaptability in complex clutter.

Purpose of the Study:

  • To propose a novel detector for improved DET detection in FMCW radar systems.
  • To enhance detection probability and ensure stable false alarm control under varying clutter conditions.
  • To introduce a nonlinear transform-based variability index CFAR (DET-NTVI-CFAR) detector.

Main Methods:

  • A nonlinear transform is applied to accumulated power cells to construct a detection statistic.
  • Thresholds are derived from a corresponding probability distribution model.
  • A variability index CFAR (VI-CFAR) strategy is employed for adaptive detection branch selection.
  • False alarm probability expressions for sub-detection methods guide threshold parameter selection.

Main Results:

  • The proposed DET-NTVI-CFAR detector demonstrates stable false alarm control across diverse environments.
  • Significant improvements in detection probability are achieved compared to existing methods.
  • Simulation results validate the detector's effectiveness in complex clutter backgrounds.

Conclusions:

  • The DET-NTVI-CFAR detector offers a robust solution for detecting Doppler-extended targets in FMCW radar.
  • The method provides enhanced detection performance and reliable false alarm rate management.
  • Field test results confirm the practical applicability of the proposed detector.