ENDO Atmospheric EXO Atmospheric Radar Modeling. Radar Cross Section Modeling. Appendix L.

Abstract

This effort is concerned with the development and inplementation of a set of digital computer programs that will augment the RADC digital computer radar simulation model procured under Contract F30602-72-C0393 (01707201). The computer programs shall consist of a sequence of subroutines that correspond to separate functions such as a chaff model, target model, propagation effects and clutter model. The original radar simulation model will be expanded to include a bistatic capability and will include ECM and phase coded pulse compression receiver techniques. In addition, an interactive system has been designed for the simulation. Using an interactive display, an engineer would be able to understand what is happening by being able to observe results at several intermediate points in the problem. A picture is worth a thousand words. For example, an antenna pattern or waveform response to a target is more meaningful than a long table of numerical listings. Parts of the simulation were used by RADC for Deep Space Surveillance Radar (DSSR) waveform analysis, generating antenna patterns and tradeoffs involving phase shifter bit-size for the Advanced Space Defense Program (ASDP). The RADC radar simulation model is being used to support Seek Sail, Cobra Judy, Digital Coded Radar and Seek Sentry. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1976
Accession Number
ADA031440

Entities

People

  • Fred H. Cleveland
  • Robert J. Hancock

Organizations

  • General Dynamics

Tags

Communities of Interest

  • C4I
  • Space

DTIC Thesaurus Topics

  • Carrier Frequencies
  • Computer Programs
  • Computers
  • Databases
  • Diffraction
  • Digital Computers
  • Far Field
  • Frequency
  • Geometry
  • Linear Arrays
  • Plastic Explosives
  • Procedures (Computers)
  • Pulse Compression
  • Radar Cross Sections
  • Scattering
  • Simulations
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Science.
  • Neural Network Machine Learning.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects