Modeling of Camouflage Netting for Radar Cross Section Analysis

Abstract

An analytical model for radar cross section reduction by the US army's currently deployed camouflage netting system was developed. This model was needed to assist in the evaluation of developmental camouflage materials through prediction of radar cross section reduction. With this model, parameters measurable in the laboratory can be used to predict the performance of fabricated netting. Using a physical optics approach to modeling, the net is modeled as a layer of lossy dielectric material. The layer is assumed to be a continuous, locally flat, and locally homogeneous medium. Relevant equations are then developed to predict radar cross section reduction. The constitutive parameters of interest are the complex permittivity and permeability and the effective thickness of the net. Methods of obtaining or approximating these values are discussed. The development provides a prediction equation using a dyadic description of the electric fields on either side of the nets, developed from the constitutive parameters, from which a prediction of radar cross section reduction follows. Values for constitutive parameters are assumed to generate data for comparative purposes. Using this model with the measured complex constitutive parameters of the net, an anticipated reduction of RCS can be predicted.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1989
Accession Number
ADA209226

Entities

People

  • John B. Macleod

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Angle Of Incidence
  • Camouflage
  • Classification
  • Computer Programming
  • Electric Fields
  • Electromagnetic Scattering
  • Equations
  • Geometry
  • Materials
  • Radar
  • Radar Equipment
  • Radar Signatures
  • Radiation
  • Thickness
  • Two Dimensional
  • United States Military Academy

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.
  • Structural Health Monitoring of Composite Structures.