The Use of SIG Algorithms in Sea Tests

Abstract

This report summarizes recent progress by Signal Innovations Group (SIG) in supporting the Naval Research Laboratory (NRL) on the development and application of mine identification algorithms using a Low Frequency Broadband (LFBB) sonar system. SIG has the tasks of developing the algorithms and transitioning them to NRL for use in sea tests. Fully-transitioned algorithms have performed well in sea tests, with additional development increasing the computational efficiency. The discussion below provides a summary of the following items: the Kernel Matching Pursuits (KMP) classification algorithm, the correlation kernel method, and sample results from an NRL sea test.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 28, 2007
Accession Number
ADA474616

Entities

People

  • Lawrence Carin
  • Patrick Rabenold

Organizations

  • Signal Innovations Group, Inc.

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Underwater Vehicles
  • Classification
  • Data Processing
  • Equations
  • Feature Extraction
  • Frequency
  • Frequency Bands
  • Hidden Markov Models
  • Identification
  • Kernel Functions
  • Machine Learning
  • Markov Models
  • Models
  • Probability
  • Supervised Machine Learning
  • Two Dimensional

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Technical Research and Report Writing.