Autoregressive Moving Average Modeling of Radar Target Signatures.

Abstract

A method for characterizing radar target signatures with Autoregressive Moving Average (ARMA) models is developed. A parameterization of the model that corresponds directly to the geometric properties of the target is chosen, and an efficient algorithm for estimating these parameters is presented. Procedures for minimizing the effects of unmodeled dynamics are also developed. Experiments on radar measurements obtained from a concept range are presented to test the effectiveness of the ARMA modeling procedure.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA194612

Entities

People

  • Randolph L. Moses
  • Rob Carriere

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Aspect Angle
  • Cargo Aircraft
  • Commercial Aircraft
  • Databases
  • Electrical Engineering
  • Frequency
  • Frequency Domain
  • Identification
  • Identification Systems
  • Physical Properties
  • Radar Signals
  • Radar Targets
  • Scattering
  • Signal Processing
  • Target Signatures
  • Transport Aircraft

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Statistical inference.