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Related Experiment Video

Updated: Feb 14, 2026

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Wake-Independent Velocity Estimation and Motion Compensation for SAR Moving Target Based on Time-Frequency Analysis.

Chun Wen1, Yunhua Wang1, Yanmin Zhang1

  • 1Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel, wake-independent method for synthetic aperture radar (SAR) imaging of moving targets. The technique accurately estimates target velocity and compensates for motion, significantly improving image quality.

Keywords:
SAR imagingmotion compensationmoving ship targettime–frequency analysisvelocity estimation

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Radar Imaging

Background:

  • Synthetic aperture radar (SAR) imaging faces challenges with moving targets, causing defocusing and displacement.
  • Existing methods often rely on target wake features, which are not always available or reliable.

Purpose of the Study:

  • To develop a velocity estimation and motion compensation technique for SAR imaging of moving targets.
  • To improve SAR imaging quality by mitigating motion-induced artifacts.

Main Methods:

  • A wake-independent method to determine radar beam center crossing time using time-frequency spectrum analysis.
  • Estimation of target radial and azimuthal velocities based on the determined crossing time.
  • Motion compensation via phase correction using the estimated velocities.

Main Results:

  • Simulation results show velocity estimation errors below 0.1 m/s for radial and 0.5 m/s for azimuthal velocity.
  • The method effectively corrects azimuthal displacement caused by radial velocity, restoring targets to their true positions.
  • Validation on Sentinel-1 SAR data confirms the method's effectiveness.

Conclusions:

  • The proposed wake-independent method offers a robust solution for SAR imaging of moving targets.
  • Accurate velocity estimation and motion compensation enhance SAR image quality and target positioning.
  • This technique has practical applications for maritime surveillance and other SAR-based monitoring.