- News
- Subject and Goals
- Council and Annual Reports
- Contacts and Working Groups
- Lectures and Presentations
- Conferences and Seminars
- Publications
- Application Demos
- International Travels
- Visitors
- Past Events
- E-Synergy Login
SEARCH
MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Performance evaluation of local state estimation methods in bearings-only tracking problems
Typ:
Conference paper
Authors:
Proceedings name:
Proceedings of the 14th International Conference on Information Fusion (FUSION 2011)
Serie:
Chicago, USA
Year:
2011
ISBN:
978-1-4577-0267-9
Keywords:
bearings-only tracking , nonlinear filtering , state estimat
URL (www page):
attachment1:
clanek_fusion11_SDS2.pdf [file]
attachment2:
prezentace_fusion11_SDS2.pdf [file]
Anotation:
The paper deals with a performance analysis of several local filters within three bearing-only tracking scenarios. Performance of the extended Kalman filter, unscented Kalman filter, unscented Kalman filter with adaptive scaling parameter, which represent generic filters, and the shifted Rayleigh filter, which is designed solely for the bearing-only tracking problem, is compared using the root mean square error, averaged normalized estimation error squared and non-credibility index. The simulations show that the unscented Kalman filter with adaptive scaling parameter achieves similar or even better performance than the shifted Rayleigh filter.