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Echo-Level SAR Imaging Simulation of Wakes Excited by a Submerged Body

  • 0Key Lab of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.
Sensors (basel, Switzerland) +

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February 24, 2024

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February 24, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study presents a numerical method for simulating Synthetic Aperture Radar (SAR) images of submerged body wakes. The findings show that wake detectability in SAR images decreases with lower submerged body speeds or specific wind conditions.

Area Of Science

  • Oceanography
  • Electromagnetics
  • Fluid Dynamics

Background

  • Submerged body wakes significantly impact ocean dynamics and are detectable via Synthetic Aperture Radar (SAR).
  • Understanding SAR imaging of these wakes requires integrating hydrodynamic and electromagnetic scattering principles.

Purpose Of The Study

  • To develop a numerical simulation method for SAR imaging of submerged body wakes.
  • To analyze the influence of navigation parameters and sea surface conditions on wake characteristics in SAR images.

Main Methods

  • Utilized Computational Fluid Dynamics (CFD) for simulating wake hydrodynamics and wind waves.
  • Computed electromagnetic scattering characteristics of wakes under varying conditions.
  • Established SAR raw echo signals and generated simulated SAR images using the Range-Doppler (RD) algorithm.

Main Results

  • CFD effectively simulates wake characteristics influenced by submerged body velocity.
  • Wake backscattering features are dependent on the orientation relative to the radar line of sight.
  • Wake detectability in SAR images diminishes at lower submerged body speeds or under specific wind conditions, where wakes can be masked by sea surface background.

Conclusions

  • The integrated numerical simulation method provides a valuable tool for understanding SAR imaging of submerged body wakes.
  • Wake detectability in SAR is sensitive to both the body's motion and environmental factors like wind speed.
  • Further research can refine SAR-based detection of submerged objects by considering these hydrodynamic and electromagnetic interactions.

Keywords: