Detection and Characterization of Phase-Coded Radar Signals

Abstract

This report results from a contract tasking Cranfield University (RMCS) as follows: The Grantee will investigate various mathematical concepts of detection and characterization of simulated radar signals. As detailed in the technical proposal at least four approaches will be investigated: 1. A varied matched filter and spectral analysis 2. A neural network (NN) approach based on the use of NNs to detect pulse radar. 3. Methods derived from CDMA (code division multiple access) multiuser detection. 4. Independent component analysis (ICA). He will employ MATLAB and SIMULINK to generate signals and MATLAB for their analysis Efficiency of algorithms will be an important consideration in assessing the performance of the mathematical approaches developed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 21, 2004
Accession Number
ADA433120

Entities

People

  • Ernest R. Adams

Organizations

  • Cranfield University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Code Division Multiple Access
  • Correlation Techniques
  • Cross Correlation
  • Detection
  • Frequency
  • Gaussian Noise
  • Identification
  • Matched Filters
  • Neural Networks
  • Pattern Recognition
  • Radar
  • Radar Signals
  • Recognition
  • Signal Processing
  • Spectra
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Radio communications and signal processing.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks