Research Topics on Cluttered Environments Interrogation and Propagation

Abstract

In the project we have derived new results for wave propagation in random and complex media and looked at specific applications associated with imaging and communication through a cluttered medium. The main new theoretical result is an explicit expression for the forth moment of the wave field in the scintillation regime which is relevant for instance for laser beam propagation through the turbulent atmosphere. This is important because it allows us to analyze statistical stability of imaging and communication schemes. We have used the results on the fourth moment to analyze wavefront correction schemes and obtained novel theoretical results that characterize the performance of these. We have also analyzed precursors that emerge in random media, in the beam regime, and how the frequency contents of the source governs the evolution of these. Moreover, we have analyzed how one can use the statistics of reflected (or transmitted) signals to infer information about the microstructure of the medium through which the signals has propagated. We have also generalized the concept of a Brewster angle associated with optimal transmission to the case with a random slab.

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Document Details

Document Type
Technical Report
Publication Date
Nov 04, 2014
Accession Number
ADA611638

Entities

People

  • Knut Sølna

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Detection
  • Differential Equations
  • Elastic Waves
  • Electromagnetic Wave Propagation
  • Equations
  • Imaging Techniques
  • Radar Imaging
  • Scattering
  • Statistics
  • Stochastic Processes
  • Synthetic Aperture Radar
  • Three Dimensional
  • Wave Propagation
  • Waves

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Optical Physics and Photonics.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Directed Energy