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Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference.

Yu Xing1, Peng You2, Shaowei Yong3

  • 1Department of Electronic Science, National University of Defense Technology, Changsha 410000, Hunan, China. ynudt@126.com.

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|August 26, 2018
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Summary
This summary is machine-generated.

This study introduces a novel high-resolution range profile (HRRP) method to accurately estimate target rotational parameters. The technique effectively compensates for residual translational motion, improving micro-motion dynamics analysis for radar target recognition.

Keywords:
HRRPWave Transformparameter estimationrotational motiontranslational motion

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Area of Science:

  • Radar signal processing
  • Target recognition and classification
  • Micro-motion dynamics analysis

Background:

  • Micro-motion dynamics generate micro-range (m-R) signatures crucial for target classification.
  • Residual translational motion from dechirping degrades m-R signature periodicity, challenging rotational parameter estimation.

Purpose of the Study:

  • To propose an efficient high-resolution range profile (HRRP)-based method for estimating rotational parameters.
  • To address the challenge of residual translational motion in radar echo processing.
  • To improve the accuracy of target classification and recognition using m-R signatures.

Main Methods:

  • Utilizing online measured reference distances for dechirping radar raw echoes.
  • Introducing a modified first conditional moment of range profiles (MFCMRP) with periodic and random components.
  • Employing Wavelet Transform (WT) to separate measurement errors from MFCMRP and compensate for them.
  • Applying autocorrelation to estimate the rotational period and inverse Radon transform (IRT) for rotational amplitudes and phases.

Main Results:

  • The proposed method successfully separates rotational motion from measurement errors in range profiles.
  • Accurate estimation of rotational parameters (period, amplitude, phase) was achieved.
  • Validation through synthetic and measured radar data confirmed the method's effectiveness.

Conclusions:

  • The developed HRRP-based method offers an efficient and accurate approach for rotational parameter estimation.
  • This technique enhances the analysis of micro-motion dynamics for improved radar target recognition.
  • The compensation for residual translational motion is key to preserving m-R signature periodicity.