Three-dimensional tracking using on-board measurements

Rekkas, CM; Lefas Chris, C; Krikelis, NJ

dc.contributor.author	Rekkas, CM	en
dc.contributor.author	Lefas Chris, C	en
dc.contributor.author	Krikelis, NJ	en
dc.date.accessioned	2014-03-01T01:08:12Z
dc.date.available	2014-03-01T01:08:12Z
dc.date.issued	1991	en
dc.identifier.issn	0018-9251	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10329
dc.subject	System Modeling	en
dc.subject	Three Dimensional	en
dc.subject	Tracking System	en
dc.subject	First Order	en
dc.subject	kalman filter	en
dc.subject.classification	Engineering, Aerospace	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Aircraft - Radar Equipment	en
dc.subject.other	Mathematical Transformations - Laplace Transforms	en
dc.subject.other	Radar - Tracking	en
dc.subject.other	Signal Filtering and Prediction - Kalman Filtering	en
dc.subject.other	Attitude Measurement Filter	en
dc.subject.other	Extended Kalman Filter	en
dc.subject.other	On-Board Measurements	en
dc.subject.other	Three-Dimensional Tracking	en
dc.subject.other	Air Transportation	en
dc.title	Three-dimensional tracking using on-board measurements	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/7.85034	en
heal.identifier.secondary	http://dx.doi.org/10.1109/7.85034	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	The development of a three-dimensional tracker using onboard measurements is described. A system model based on aircraft dynamics is derived. A full 3-D tracking system that can be split, with a part operating onboard and a part operating on the ground, is developed. Attitude angle and aircraft airspeed measurements are processed to estimate the components of the aircraft velocity with respect to the surrounding air. These are then used to obtain estimates of the aircraft position and ground speed. The tracker is designed so that the number of quantities transmitted to the ground station is kept to a minimum. The tracker was evaluated with real data and was found to perform well, resulting in a considerable improvement over the conventional first-order Kalman filter.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Aerospace and Electronic Systems	en
dc.identifier.doi	10.1109/7.85034	en
dc.identifier.isi	ISI:A1991GB87400004	en
dc.identifier.volume	27	en
dc.identifier.issue	4	en
dc.identifier.spage	617	en
dc.identifier.epage	624	en