Limitations of Non-linear Dynamics in Predicting Sea Clutter Returns

Abstract

The ability to describe sea clutter returns via non-linear, and more specifically chaotic dynamics, is examined. It is shown that the commonly used chaotic invariant measures of correlation dimension and Lyapunov exponent are incapable of uniquely identifying chaotic processes and produce similar results for real sea clutter returns and simulated stochastic processes. The potential existence of an underlying chaotic texture masked by stochastic overlying speckle is examined but found to be inconsistent with the measured properties of the real sea clutter data. Finally the performance of linear and non-linear predictors is tested against the real data but no improvement is found to exist for the non-linear predictor examined in this report with respect to linear prediction performance.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2002
Accession Number
AD1001550

Entities

People

  • Anthony Damini
  • Michael K. Mcdonald

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Data Sets
  • Detection
  • Detectors
  • Dynamics
  • Frequency
  • Frequency Domain
  • High Resolution
  • Low Resolution
  • Measurement
  • National Security
  • Nonlinear Dynamics
  • Radar
  • Sea Clutter
  • Security
  • Stochastic Processes
  • Training

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Radar Systems Engineering.