Optimizing Refractivity from Clutter (RFC) for Surface-Based Ducts

Abstract

Develop electromagnetic propagation models, and refractivity inversion algorithms, that perform equally well over land and sea and in the presence of anomalous propagation conditions for both surface and airborne emitters, for use in operational or engineering propagation assessment systems. Develop an advanced unified hybrid radio propagation model based on parabolic equation and rayoptics methods for both surface-based and airborne applications. This model is named the Advanced Propagation Model (APM) and is the primary model used in the Advanced Refractive Effects Prediction System (AREPS). The specific technical objectives are to develop algorithms to extract surface clutter only from weather files provided by the Hazardous Weather Detection and Display Capability (HWDDC); and to improve, refine, and optimize the current state-of-the-art Refractivity From Clutter (RFC) algorithms to infer and characterize surface-based ducts (SBD).

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2010
Accession Number
ADA541861

Entities

People

  • Ali Karimian
  • Amalia E. Barrios
  • Caglar Yardim
  • Nathan Fuhrer
  • Peter Gerstoft

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Data Sets
  • Detection
  • Distribution Functions
  • Electronic Mail
  • Equations
  • Gaussian Distributions
  • Grazing Angles
  • Monte Carlo Method
  • Naval Operations
  • Naval Warfare
  • Navy
  • Normal Distribution
  • Radio Equipment
  • Tactical Decision Aids
  • Urban Areas
  • Warfare

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML