A Modular Signal Processing Architecture to Mitigate Obsolescence in Airborne Systems

Abstract

After providing an introduction to the obsolescence problem, this paper explains bow the topic is handled to dated using an airborne radar system development as an example. In this the supplier primarily reacts on obsolete components with post design measures. In contrast to this a pro-active approach is suggested that starts with defining an architecture that eases the substitution of obsolete components and allows upgrades without involving major redesigns. This includes the need to safeguard the effort spend for developing and qualifying application software. The article presents a modular structured signal processing architecture that employs COTS modules and standards. It discusses the ability of such an architecture to cope with the obsolescence problem by separating interfaces from processing units and applying COTS interface standards. Means of the designer are examined that allow to proactively design a processor that is likely to survive hardware and software component changes at minimum cost. Forming standard building blocks that encapsulate processing functions is presented as an approach that will considerably reduce the involved risk.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADP010976

Entities

People

  • Markus Rothmaier

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Application Software
  • Commerce
  • Communication Channels
  • Computer Programming
  • Data Transmission
  • Fighter Aircraft
  • Life Cycles
  • Military Aircraft
  • Military Applications
  • Operating Systems
  • Power Supplies
  • Radar
  • Reliability
  • Signal Processing
  • Standards
  • Test Equipment

Fields of Study

  • Computer science

Readers

  • Civilian Systems Systems Program Capability Development and Upgrade Support Activity Expense and Pay Management.
  • Software Engineering.
  • Systems Analysis and Design