Power Efficient Radar Signal Processor

Abstract

Power efficiency and ease of programming are key issues in the implementation of real-time systems in airborne and space-based applications. This paper describes a radiation tolerant processor designed for space-based Radar applications. The proposed system achieves real-time performance while minimizing power consumption. It is a fully programmable general purpose processor that can be used for existing and future Radar signal processing algorithms as well as other computationally intensive tasks. In addition to programmability, the processor and I/O design facilitate scaling to thousands of processors. The system is based on synthesizable VHDL and can be Radiation hardened by design or by process technology. This paper gives an overview of the processor design. Further, it explains the software environment and tools available for the programmers. All of the software tools are open source and many are based on the GNU tools. [1] In this paper we present the performance of some of the key routines such as Fast Fourier Transform, and Householder Q/R factorization used for matrix inversion. Also presented is a sample Radar application that includes a Joint Domain Localized (JDL) Space Time Adaptive Processing (STAP) algorithm.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA494918

Entities

People

  • Dennis Fitzgerald
  • Gerald Bright
  • John Rooks
  • Yassir Salama

Organizations

  • ITT Corporation

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Compilers
  • Computer Programming
  • Computers
  • Debugging
  • Detection
  • Energy Consumption
  • Floating Point Operations
  • Instruction Set Architecture
  • Operating Systems
  • Pulse Compression
  • Radar Signals
  • Signal Processing
  • Simulators
  • Software Development
  • Software Development Tools

Fields of Study

  • Computer science
  • Engineering

Readers

  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.
  • Radar Systems Engineering.

Technology Areas

  • Space