Kalman Filtering with Unknown Sensor Measurement Losses**This work was supported by the National Natural Science Foundation of China (41576101), and Tsinghua University Initiative Scientific Research Program.

Author:

Zhang Jiaqi,You Keyou

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference9 articles.

1. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking;Arulampalam;IEEE Transactions on Signal Processing,2002

2. Doucet, A., De Freitas, N., Murphy, K., and Russell, S. (2000). Rao-blackwellised particle filtering for dynamic bayesian networks. In Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, 176–183. Morgan Kauf-mann Publishers Inc.

3. Particle filters for positioning, navigation, and tracking;Gustafsson;IEEE Transactions on Signal Processing,2002

4. Estimating optimal tracking filter performance for manned maneuvering targets;Singer;IEEE Transactions on Aerospace and Electronic Systems,1970

5. Kalman filtering with intermittent observations;Sinopoli;IEEE Transactions on Automatic Control,2004

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