Analysis and Design of Real-Time Processing System for Sensor Data at AMOS

Abstract

This report deals with the design of a computer system for the real- time processing of high-resolution video, photometric and long-wavelength infrared data. An analysis of the data rates generated by the various sensors and the algorithms involved in the subsequent data analysis indicates that the combined processing requirements are in the order of 100 MIPS (million instructions per second), and that up to 16 Mbytes of high-speed memory may be needed. This processing power cannot be achieved with a sequential computer, and a parallel-processor architecture was therefore developed to achieve the necessary throughput. It has a very attractive cost/performance ratio and appears to be useful in a number of other application areas such as radar, sonar, data-base search and update, mapping, solution of partial differential equations and simultaneous linear equations. The conclusion is drawn that the G- 471 is a computer system which, for the signal and image processing fields, provides a processing-power/cost ratio which is at least an order of magnitude higher than that of large-scale sequential scientific computers. It is well suited to handle the near-real time processing requirements at AMOS.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1976
Accession Number
ADA031483

Entities

People

  • C. T. Retter
  • I. M. Singh
  • M. P. Patel
  • S. S. Reddi
  • W. M. Schreyer
  • W. W. Gaertner

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Transmission
  • Differential Equations
  • Energy Consumption
  • Floating Point Operations
  • Frequency Domain
  • Image Processing
  • Load Monitoring
  • Operating Systems
  • Partial Differential Equations
  • Reliability
  • System Software
  • Terminals
  • Two Dimensional

Readers

  • Calculus or Mathematical Analysis
  • Computer Vision.
  • Parallel and Distributed Computing.