High Resolution Radar Target Modeling Using ARMA (Autoregressive Moving Average)Models

Abstract

A method for characterizing radar signatures using ARMA models is developed based on the concept of scattering centers. A parameterization of the ARMA model specific to the radar target identification problem is chosen, and several key improvements to the algorithm, including the use of singular value decomposition and the removal of spurious scattering centers are presented and compared to earlier versions of the algorithm. The resulting algorithm is tested with data taken from a compact range. These tests include comparison of different targets, different aspect angles and frequency ranges, as well as robustness tests on the algorithm and evaluation of performance in noise.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1989
Accession Number
ADA218212

Entities

People

  • R. Carriere
  • R. L. Moses

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Aspect Angle
  • Cargo Aircraft
  • Databases
  • Electrical Engineering
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Government Procurement
  • Radar
  • Radar Cross Sections
  • Radar Targets
  • Scattering
  • Signal Processing
  • Time Domain
  • Transport Aircraft

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Marine Ecological Systems Migration