Accession Number : ADA115581

Title :   Enhanced Tracking of Airborne Targets Using Forward Looking Infrared Measurements.

Descriptive Note : Master's thesis,


Personal Author(s) : Rogers,Steven Keith

PDF Url : ADA115581

Report Date : Dec 1981

Pagination or Media Count : 358

Abstract : Considerable work has been accomplished at AFIT (Armed Forces Institute of Technology) in the last three years to improve the tracking capability of the high energy laser weapon. The improvements were achieved via use of an adaptive extended Kalman filter algorithm. In this research, work is initiated on a tracker able to handle 'multiple hot spot' targets, in which digital signal processing is employed on the FLIR data to identify the underlying target shape. This identified shape is then used in the measurement model portion of the filter as it estimates target offset from the center of the field-of-view. Two tracking algorithms are developed. The first algorithm uses an extended Kalman filter to process the intensity measurements form a FLIR to produce target position estimates. The second algorithm uses a linear Kalman filter to process the position estimates of an improved correlation algorithm. This algorithm is improved over standard correlators by using thresholding to eliminate poor correlation information, dynamic information from the Kalman filter and it also uses the on-line derived target shape. (Author)

Descriptors :   *Fourier transformation, *Tracking, *Infrared detection, *Forward looking infrared systems, *Laser beams, Signal processing, Measurement, Kalman filtering, Linear filtering, Digital systems, Airborne, Targets, Military applications, Theses, Laser weapons, Optical processing, Algorithms, correlation techniques, Estimates, Models, Lasers, High energy

Subject Categories : Lasers and Masers
      Statistics and Probability
      Infrared Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE