Angle-Only Target Tracking
Independent thesis Basic level (professional degree), 20 points / 30 hpStudent thesis
In angle-only target tracking the aim is to estimate the state of a target with use of measurement of elevation and azimuth. The state consists of relative position and velocity between the target and the platform. The platform is an Unmanned Aerial Vehicle (UAV) and the tracking system is meant to be a part of the platform’s anti-collision system. In the case where both the target and the platform travel with constant velocity the angle measurements do not provide any information of the range between the target and the platform. The platform has to maneuver to be able to estimate the range to the target.
Two filters are implemented and tested on simulated data. The first filter is based on a Extended Kalman Filter (EKF) and is designed for tracking nonmaneuvering targets. Different platform maneuvers are studied and the influence of initial errors and the geometry of the simulation scenario is investigated. The filter is able to estimate the position of the target if the platform maneuvers and the target travels with constant velocity. Maneuvering targets on the other hand can not be tracked by the filter.
The second filter is an interacting multiple model (IMM) filter, designed for tracking maneuvering targets. The filter performance is highly dependent of the geometry of the scenario. The filter has been tuned for a scenario where the target approaches the platform from the front. In this scenario the filter is able to track both maneuvering and non-maneuvering targets. If the target approaches the platform from the side on the other hand, the filter has problems with distinguish target maneuvers from measurement noise.
Place, publisher, year, edition, pages
Institutionen för systemteknik , 2007. , 119 p.
Angle-only, Target Tracking, MSC, EKF, IMM
IdentifiersURN: urn:nbn:se:liu:diva-8537ISRN: LITH-ISY-EX--07/3904--SEOAI: oai:DiVA.org:liu-8537DiVA: diva2:23313
2007-02-23, Systemet, B-huset, Campus Valla, Linköpings universitet, Linköping, 10:15