Discrete-time linear filtering in arbitrary noise

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2000, Pages 1212-1217

  Li, X Rong ^a   Han, Chongzhao ^b   Wang, Jie ^b  

^a UNIVERSITY OF NEW ORLEANS   (United States)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CORRELATION METHODS; DISCRETE TIME CONTROL SYSTEMS; LINEAR CONTROL SYSTEMS; OPTIMAL CONTROL SYSTEMS; SPURIOUS SIGNAL NOISE;

ARBITRARY ADDITIVE NOISE; BEST LINEAR UNBIASED ESTIMATOR; RECURSIVE FILTERS;

KALMAN FILTERING;

EID: 0034438759     PISSN: 01912216     EISSN: None     Source Type: Journal    
DOI: 10.1109/CDC.2000.912020     Document Type: Article

References (8)

1. Estimation and tracking: Principles, techniques, and software
2. Multitarget-Multisensor tracking: Principles and techniques
3. Distributed multitarget multisensor tracking
4. A new approach to linear filtering and prediction problems
5. Hybrid estimation techniques
6. Unified optimal linear estimation fusion-Part I: Unified models and fusion rules
7. Distributed fusion architectures and algorithms for target tracking
8. Kalman filtering: Theory and application