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A Novel Sub-Bottom Profiler and Signal Processor.

Cheng Tan1, Xuebo Zhang2, Peixuan Yang3

  • 1Aerospace Technology Institute of CARDC, Aerodynamics Research and Development Center, Mianyang 621000, China.

Sensors (Basel, Switzerland)
|November 23, 2019
PubMed
Summary
This summary is machine-generated.

A new sub-bottom profiler uses a novel Mills cross configuration and synthetic aperture sonar. This system improves imaging resolution and compensates for motion errors, enhancing the detection of buried objects in seabed sediments.

Keywords:
Mills cross configurationimaging algorithmmotion compensationsynthetic aperture technique

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Area of Science:

  • Marine geophysics
  • Sonar technology
  • Oceanographic instrumentation

Background:

  • Sub-bottom profiling is crucial for seabed sediment analysis and object detection.
  • Traditional sonar systems face limitations in resolution and motion error compensation.
  • Synthetic aperture sonar (SAS) offers potential for high-resolution imaging but is sensitive to platform motion.

Purpose of the Study:

  • To introduce a novel sub-bottom profiler utilizing a Mills cross configuration and synthetic aperture techniques.
  • To develop and validate an imaging algorithm with motion compensation (MC) for improved performance.
  • To assess the system's capability for detecting buried objects in seabed sediments.

Main Methods:

  • The system employs a Mills cross configuration with receiver and transmitter arrays mounted perpendicularly.
  • Synthetic aperture techniques are used to enhance along-track resolution.
  • A motion compensation (MC) imaging algorithm estimates motion error and applies corrections using the phase center approximation (PCA) method and range migration algorithm.

Main Results:

  • Simulations and lake trials validated the proposed sub-bottom profiler and data processing method.
  • The MC imaging algorithm effectively compensates for motion errors, significantly improving image quality.
  • Real data processing demonstrated the system's potential for detecting buried objects.

Conclusions:

  • The novel sub-bottom profiler configuration offers enhanced resolution and robust motion error compensation.
  • The proposed MC imaging algorithm is effective in overcoming motion-induced degradation.
  • This technology shows significant promise for seabed sediment characterization and buried object detection applications.