Analysis of tracking and identification characteristics of diverse systems and data sources for sensor fusion
Wilson, Dean A.
MetadataShow full item record
In the Command and Control mission, new technologies such as 'sensor fusion' are designed to help reduce operator workload and increase situational awareness. This thesis explored the tracking characteristics of diverse sensors and sources of data and their contributions to a fused tactical picture. The fundamental building blocks of any sensor fusion algorithm are the tracking algorithm associated with each of the sensors on the sensor platform. In support of this study the MATLAB program 'fusim' was written to provide acquisition managers a tool for evaluating tracking and sensor fusion algorithms. The fusim program gives the user flexibility in selecting: sensor platforms up to four sensors associated with that platform, the target types the problem orientation and the tracking algorithms to be used with the sensors. The fusim program was used to compare tracking algorithms in a multiple sensor/multiple target environment. Specifically, the Probabilistic Data Association Filter the Interacting Multiple Models Filter the Kalman Filter and the Constant Gain Kalman Filter were evaluated against multiple maneuvering non- maneuvering, and fixed targets. It is recommended that this study be continued to evaluate advanced tracking and data association techniques to expand the program to allow attribute tracking and identification and to study the Human-Machine Interface aspects of sensor fusion.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Ogawa, James S (Monterey, California. Naval Postgraduate School, 1997-09);This thesis evaluated the effectiveness of sensor fusion--combining infrared and low-light-level image to improve the F/A-18 target standoff range requirement. Several human performance studies have shown inconsistent ...
A comparison of nonlinear filters and multi-sensor fusion for tracking boost-phase ballistic missiles Kim, Kyungsu.; Pace, Phillip E.; Hutchins, Robert G.; Michael, James Bret (Monterey, California. Naval Postgraduate School, 2009-01); NPS-CS-09-002This report studies two aspects of tracking ballistic missiles during boost phase. The first part compares the performance of several nonlinear filtering algorithms in tracking a single target: the extended Kalman filter ...
Inertial and magnetic tracking of limb segment orientation for inserting humans into synthetic environments Bachmann, Eric Robert (Monterey, California. Naval Postgraduate School, 2000-12);Current motion tracking technologies fail to provide accurate wide area tracking of multiple users without interference and occlusion problems. This research proposes to overcome current limitations using nine-axis magnetic/ ...