Wavelets in Signal Detection and Identification Comparative Signal Processing Technology Evaluation.

Abstract

The Wavelet in Signal Detection and Identification: Comparative Signal Processing Technology Evaluation Program has been conducted by Lockheed Missiles & Space Company to develop wavelet based signal detection and classification techniques and compare them to Fourier time-frequency methods. The problem domain is submarine detection and identification using transient passive sonar signals. These nontraditional signals are critical in solving current Anti-Submarine Warfare (ASW) problems which include ultra quiet nuclear submarines and third world diesel submarines operating on batteries in shallow water. The Wavelets program supports the ARPA sponsored Multisensor Fusion System Program (MSF) at Lockheed (ARPA contract N00014-91-C-0237).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA291952

Entities

People

  • Raghu Raghaven

Organizations

  • Lockheed Martin Missiles and Space

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Data Sets
  • Databases
  • Detection
  • Detectors
  • Feature Extraction
  • Frequency
  • Frequency Bands
  • Gaussian Noise
  • Identification
  • Information Science
  • M Band
  • Machine Learning
  • Navy
  • Signal Detection
  • Signal Processing
  • Sonar Signals

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Electrical Engineering
  • Naval Mine Countermeasure Systems Development.

Technology Areas

  • Space
  • Space - Space Objects