Journal
MEASUREMENT
Volume 176, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2021.109172
Keywords
Infrared focal plane array; Attitude measurement; Adaptive fault-tolerant; Extended Kalman filter
Funding
- National Natural Science Foundation of China [61675097]
- Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX20_0267]
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The study investigated the fault diagnosis method of Infrared Focal Plane Array (IRFPA) and proposed an adaptive fault-tolerant extended Kalman filter algorithm to improve anti-jamming ability and maintain attitude estimation accuracy in different infrared interference scenarios.
To improve the anti-jamming ability of infrared attitude measurement methods, the infrared focal plane array (IRFPA) fault diagnosis method was investigated with regard to small-region and full-region infrared interference, respectively. An adaptive fault-tolerant extended Kalman filter algorithm is proposed to actively remove the infrared interference data in the case of small-region infrared interference and carry out attitude estimation with the mathematical model under full-region infrared interference. The results reveal that the adaptive faulttolerant extended Kalman filter has stronger anti-jamming ability compared with the conventional extended Kalman filter. Additionally, the adaptive fault-tolerant extended Kalman filter can maintain the attitude estimation accuracy of ?0.8? when full-region infrared interference doesn?t exist or if most IRFPA data are reliable. Apart from missile navigation, the framework of the adaptive fault-tolerant extended Kalman filter can be applied to almost all applications using extended Kalman filter, such as aircraft, vehicular navigation, indoor positioning, and target tracking, etc.
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