TY - GEN
T1 - A joint filter for formation tracking
AU - Klein, Itzik
AU - Rusnak, Ilan
PY - 2014
Y1 - 2014
N2 - There is a growing interest in unmanned formation missions. For these kinds of missions, there is a need to track each member in the formation. The classical way of addressing such a problem, is to address each member in the formation separately and design its own filter, independently from the other member filters. An implementation of a joint filter for the formation members is proposed. Such a filter utilizes the fact that the velocity of formation members is almost the same, in its core structure. Closed-form analytical solution to the error state covariance of the joint filter and the corresponding gain matrix are derived and compared to the individual filter for each formation member implementation.
AB - There is a growing interest in unmanned formation missions. For these kinds of missions, there is a need to track each member in the formation. The classical way of addressing such a problem, is to address each member in the formation separately and design its own filter, independently from the other member filters. An implementation of a joint filter for the formation members is proposed. Such a filter utilizes the fact that the velocity of formation members is almost the same, in its core structure. Closed-form analytical solution to the error state covariance of the joint filter and the corresponding gain matrix are derived and compared to the individual filter for each formation member implementation.
UR - http://www.scopus.com/inward/record.url?scp=84904625837&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84904625837
SN - 9781632662651
T3 - 54th Israel Annual Conference on Aerospace Sciences 2014
SP - 1433
EP - 1443
BT - 54th Israel Annual Conference on Aerospace Sciences 2014
PB - Technion Israel Institute of Technology
T2 - 54th Israel Annual Conference on Aerospace Sciences, IACAS 2014
Y2 - 19 February 2014 through 20 February 2014
ER -