Accession Number:

ADA257335

Title:

Application of Kalman Filter on Multisensor Fusion Tracking

Descriptive Note:

Master's thesis

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1992-12-01

Pagination or Media Count:

91.0

Abstract:

The use of Kalman filtering in tracking targets and the reconstruction of a targets track are addressed in two separate fusion schemes. First, the Kalman filter is used to provide estimates of the position and velocity of a target based upon observations of the targets bearing. Two sensors, a radar in receive mode and an infra-red sensor, take bearings to the target at different scan rates. This information is then fused within the filter to obtain the targets track. Secondly, range, bearing, and frequency are used in fusion. Kalman filtering, Kalman smoothing, and maneuver detection are all used in the reconstruction of a targets track. Improvements are implemented in the method of forcing the excitation matrix and the results documented. fusion, Kalman filter multisensor fusion tracking.

Subject Categories:

  • Miscellaneous Detection and Detectors
  • Electricity and Magnetism

Distribution Statement:

APPROVED FOR PUBLIC RELEASE