RT_STAP: Real-Time Space-Time Adaptive Processing Benchmark

Abstract

This report provides a specification of the RT_STAP benchmark for evaluating the application of scalable high performance computers to the real-time implementation of space-time adaptive processing (STAP) techniques on embedded platforms. STAP is an adaptive processing technique used to support clutter and interference cancellation in airborne radars. The RT_STAP benchmark is an example of a compact application benchmark that uses a real time design-to-specification methodology. The scalability study outlined in the RT_STAP benchmark varies the sophistication and computational complexity of the adaptive algorithms to be implemented. The benchmark provides hard, medium, and easy benchmark cases based upon three post-Doppler adaptive processing algorithms: higher-order Doppler-factored STAP, first-order Doppler-factored STAP, and post-Doppler adaptive Displaced Phase Center Antenna (CDPCA).

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1997
Accession Number
ADA340497

Entities

People

  • Jose A. Torres
  • Kenneth C. Cain
  • Ronald T. Williams

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Cancellation
  • Computational Complexity
  • Computational Science
  • Computations
  • Computer Programs
  • Computers
  • Data Processing
  • Data Sets
  • Frequency
  • High Performance Computing
  • Operating Systems
  • Pulse Compression
  • Radar
  • Signal Processing
  • Standards

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Radar Systems Engineering.

Technology Areas

  • Space