Accession Number : AD0782305

Title :   An Application of Nonlinear Filtering Theory to Passive Target Locaton and Tracking.

Descriptive Note : Master's thesis,


Personal Author(s) : Mitschang,George William

Report Date : JUN 1974

Pagination or Media Count : 207

Abstract : The technique of Extended Kalman filtering is applied to a passive single sensor location and tracking problem. Signal angle of arrival and doppler shifted frequency are used as observations for two different filter formulations: one for fixed X-Y coordinates of position and velocity and one with an orthogonal system rotated to align an axis with the target heading. The fixed X-Y system was found to give better tracking performance on the Monte Carlo simulation. A new method of calculating the initial covariance matrix was extended to reformulate the Kalman filter equations for a nonlinear problem. (Modified author abstract)

Descriptors :   *Passive sonar, *Radar tracking, *Kalman filtering, Doppler effect, Mathematical models, Stochastic processes, Computerized simulation, Computer programs, FORTRAN, Monte Carlo method, Standard deviation, Theses

Subject Categories : Acoustic Detection and Detectors
      Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE