Spatial Coherence of Seabed Volume Reverberation

Abstract

This program focused on the development of improved physics-based models for and analysis of time-series sensed by synthetic aperture sonar systems. These physics-based models were utilized to address two areas: (1) the spatial coherence of signals sensed by a bistatic, long-range SAS and (2) the sparse representation of signals defined by a physics-based basis. The development of coherence models supports a better understanding of how the sensor's design and employment impact the second cross-moment of the scattered field. This has an immediate benefit for SAS motion estimation and longer-term benefits for interpreting signal coherence to detect and characterize the imaged scene. The development of sparse signal representations provides a method for separation of time-series components for subsequent analysis. Developing the bases using physics-based methods allows subsequent signal processing and analysis to be tailored to specific physical responses.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2022
Accession Number
AD1184781

Entities

People

  • Daniel C Brown

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Phenomena
  • Acoustics
  • Algorithms
  • Classification
  • Compressed Sensing
  • Data Sets
  • Detection
  • Detectors
  • Differential Equations
  • Equations
  • Geometry
  • Information Science
  • Inverse Problems
  • Military Research
  • Scattering
  • Signal Processing
  • Sonar
  • Synthetic Aperture Sonar
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Computer Vision.