Adaptive Fading Factor Unscented Kalman Filter with Application to Target Tracking

Peng Gu; Zhongliang Jing; Liangbin Wu

doi:10.1007/978-981-33-6060-0_42

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Adaptive Fading Factor Unscented Kalman Filter with Application to Target Tracking

Peng Gu Zhongliang Jing Liangbin Wu

Year: 2021 Lecture notes in electrical engineering Pages: 579-588 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-33-6060-0_42

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Keywords:

Fading Kalman filter Divergence (linguistics) Covariance matrix Covariance Control theory (sociology) Extended Kalman filter Computer science Invariant extended Kalman filter Tracking (education) Nonlinear system Unscented transform Algorithm Mathematics Artificial intelligence Statistics Decoding methods

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Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

GNSS positioning and interference

Physical Sciences → Engineering → Aerospace Engineering

Adaptive Fading Factor Unscented Kalman Filter with Application to Target Tracking

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