A hybrid-state estimation algorithm for multisensor target tracking

Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000

Volumn 1, Issue , 2000, Pages

  Coraluppi, Stefano ^a   Luettgen, Mark ^a   Carthel, Craig ^a  

^a BAE SYSTEMS   (United Kingdom)

Author keywords

Nonlinear Filtering Hybrid Systems; Sensor Fusion; Tracking

Indexed keywords

ALGORITHMS; EXTENDED KALMAN FILTERS; HYBRID SYSTEMS; INFORMATION FUSION; SENSORS; SIGNAL FILTERING AND PREDICTION; SURFACE DISCHARGES; TRACKING (POSITION);

ESTIMATION ALGORITHM; FILTERING ALGORITHM; MULTI-TARGET TRACKING; MULTISENSOR TARGET TRACKING; RECURSIVE FILTERS; SENSOR FUSION; SIGNAL INTELLIGENCE; TARGET TRAJECTORY;

HYBRID VEHICLES;

EID: 84901427001     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFIC.2000.862659     Document Type: Conference Paper

References (7)

1. Blackman and Popoli, Design and Analysis of Modern Tracking Systems, Artech House, 1999.
2. Mazor, Averbuch, Bar-Shalom, and Dayan, Interacting Multiple Model Methods in Target Tracking: A Survey, IEEE Transactions on Aerospace and Electronic System? 34(1), 1998.
3. Tijms, Stochastic Models, John Wiley & Sons, 1994.
4. Kurien, Issues in the Design of PracticalMultitarget Tracking Algorithms, Multitarget-Multisensor Tracking, Y. Bar-Shalom (ed.), pp. 43-83, Artech House, 1990.
5. Reid, An Algorithm for Tracking Multiple Targets IEEE Transactions on Automatic Control 24(6)pp. 843-854, 1979.
6. Cox and Miller, On Finding Ranked Assignments with Application in Multitarget Tracking and Motion Correspondence; IEEE Transactions on Aerospace and Electronic Systems 31(1), pp. 486-489, 1995.
7. Coraluppi, Luettgen, and Carthel, All-Source Track and Identity Fusion, Proceedings of National Symposium on Sensor and Data Fusion, San Antonio, TX, June 2000.