Model-set adaptation using a fuzzy Kalman filter

Mathematical and Computer Modelling

Volumn 34, Issue 7-8, 2001, Pages 799-812

  Ding, Zhen ^a   Leung, Henry ^b   Chan, Keith ^c   Zhu, Zhiwen ^d  

^a RAYTHEON COMPANY   (United States)

^b UNIVERSITY OF CALGARY   (Canada)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d NORTEL NETWORKS   (Canada)

Author keywords

Adaptive IMM algorithm; Fuzzy Kalman filter; IMM algorithm; Model set adaptation; Target tracking

Indexed keywords

EID: 0034816483     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-7177(01)00100-5     Document Type: Article

References (13)

1. Optimal estimation of sampled stochastic processes
2. On state estimation in switching environments
3. Bayesian adaptive filter for tracking with measurements of uncertain origin
4. Detection and estimation of abruptly changing systems
5. Investigation of moving-bank multiple model adaptive algorithms
6. An investigation of the SFIMM algorithm for tracking maneuvering targets
7. Adaptive IMM algorithm for tracking a maneuvering target
8. Multiple model estimation with variable structure
9. Interacting multiple model methods in target tracking: A survey
10. The interacting multiple model algorithm for systems with Markovian switching coefficients
11. A two-stage Kalman estimator for state estimation in the presence of random bias for tracking manoeuving targets
12. Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter
13. Generating fuzzy rules for target tracking using a steady-state genetic algorithm