Design of Robust Adaptive Array Processors for Non-Stationary Ocean Environments

Abstract

The overall goal of this project is to design adaptive array processing algorithms that have good transient performance, are robust to mismatch, work with low sample support, and incorporate waveguide physics in a meaningful and robust way. To develop improved array processing algorithms for non-stationary environments, this project is investigating adaptive beam forming algorithms that can operate on a single-snapshot or a very limited number of snapshots. Spectral estimation methods, such as the multitaper spectral estimator developed by Thomson [Proc. IEEE, 1982] require only a single snapshot to produce an estimate. This project explores how to adapt the multitaper approach to the spatial spectral estimation problem.

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Document Details

Document Type
Technical Report
Publication Date
Feb 20, 2009
Accession Number
ADA494368

Entities

People

  • Kathleen E Wage

Organizations

  • George Mason University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Ambient Noise
  • Bandwidth
  • Crystal Lattice Vibrations
  • Data Sets
  • Deep Water
  • Detection
  • Environment
  • Estimators
  • Frequency
  • Measurement
  • Scattering
  • Signal Processing
  • Simulations
  • Spectra
  • Stationary
  • Waveguides

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Distributed Systems and Data Platform Development
  • Statistical inference.