Use of Sequential Differences in Smoothing 3-D Data

Abstract

The use of sequential (successive) differences in detecting wild data or outliers in data collected on torpedo paths is explored. It is assumed that the collected data on torpedo paths is of the form: x(i) = x(t(i)) = P(x)(t(i)) + n(i) + d(i) where P(x)(t(i)) is the x components of the position of the torpedo at time t with P(t) being some appropriate low order polynomial, n(i) is the 'noise' due to measurement error, and d(i) is a perturbation or disturbance which if present in sufficient amplitude will cause x(i) to be a 'wild' datum or outlier. Variations in the patterns (signatures) of successive differences caused by a variety of perturbations are examined for the purpose of setting thresholds to be used to detect outliers. Data collected from a torpedo path at NGWES are used for illustration.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA522451

Entities

People

  • J. B. Tysver

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Command And Control
  • Computer Programs
  • Curve Fitting
  • Data Sets
  • Detection
  • Detectors
  • Engineering
  • Position (Location)
  • Probability
  • Random Variables
  • Security
  • Statistical Analysis
  • Three Dimensional
  • Undersea Warfare
  • Warfare

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Engineering
  • Regression Analysis.