ELINT Signal Processing on Reconfigurable Computers for Detection and Classification of LPI Emitters

Abstract

This thesis describes the implementation of an ELINT algorithm for the detection and classification of Low Probability of Intercept (LPI) signals. The algorithm was coded in the C programming language and executed on a Field Programmable Gate Array based reconfigurable computer; the SRC-6 manufactured by SRC Computers, Inc. Specifically, this thesis focuses on the preprocessing stage of an LPI signal processing algorithm. This stage receives a detected signal that has been run through a Quadrature Mirror Filter Bank and outputs the preprocessed signal for classification by a neural network. A major value of this study comes from comparing the performance of the reconfigurable computer to that of supercomputers and embedded systems that are currently used to solve the signal processing needs of the United States Navy.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA451367

Entities

People

  • Dane A. Brown

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Advanced Electronics
  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • C Programming Language
  • Central Processing Units
  • Computer Programming
  • Computer Programs
  • Computers
  • Electrical Engineering
  • Electronic Intelligence
  • Field Programmable Gate Arrays
  • High Level Languages
  • Language
  • Logic Gates
  • Neural Networks
  • Operating Systems
  • Programming Languages
  • Signal Processing
  • United States

Fields of Study

  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Distributed Systems and Data Platform Development
  • Radar Systems Engineering.

Technology Areas

  • AI & ML