Isabel Schlangen

Time-Dependent State Prediction for the Kalman Filter Based on Recurrent Neural Networks

2020

Traditional formulations of the well-established Kalman filter build upon prediction models which are linear and Gaussian, moreover they usually adopt the Markov property which excludes any form of long-term temporal dependencies. However, targets might follow …