Accession Number : ADA191848

Title :   A Method for Discrimination of Radar Targets Using Complex Natural Resonances.

Descriptive Note : Technical rept.,

Corporate Author : OHIO STATE UNIV COLUMBUS ELECTROSCIENCE LAB

Personal Author(s) : Bohley, Eric P

PDF Url : ADA191848

Report Date : Sep 1987

Pagination or Media Count : 82

Abstract : A prediction-correlation target discrimination algorithm using target complex natural resonances is investigated. The targets natural resonances are extracted from experimentally measured frequency domain scattering data. Scattering data were obtained from scale model targets measured in the ElectroScience Laboratory compact radar range facility. The targets used are models of three military ground vehicles. Signal processing required for the extraction of poles is described. The principles of the prediction-correlation algorithm are discussed and the algorithm is demonstrated for both noiseless data and data with additive white noise. Classification results are plotted for the targets at aspect angles of 0, 10, 20, 30, 60, and 90 degrees from nose on.

Descriptors :   *CLASSIFICATION, *EXTRACTION, *GROUND VEHICLES, *RADAR TARGETS, *RESONANCE, *SIGNAL PROCESSING, *WHITE NOISE, ALGORITHMS, ASPECT ANGLE, DISCRIMINATION, FREQUENCY, MILITARY VEHICLES, NOSES, POLES(SUPPORTS), SCATTERING, TARGETS

Subject Categories : Active & Passive Radar Detection & Equipment
      Surface Transportation and Equipment
      Information Science
      Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE