New look at the Student's t ‐based Kalman filter from maximum a posterior perspective
Author:
Affiliation:
1. Department of Navigation EngineeringNaval University of EngineeringWuhanPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2017.0422
Reference25 articles.
1. Van Der Merwe R.: ‘Sigma‐point Kalman filters for probabilistic inference in dynamic state‐space models’. PhD Oregon Health & Science University 2004
2. Optimal State Estimation
3. Federated ultra‐tightly coupled GPS/INS integrated navigation system based on vector tracking for severe jamming environment
4. H-infinity filtering for a class of nonlinear discrete-time systems based on unscented transform
5. Unscented Kalman filter‐aided Gaussian sum filter
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