Distributed estimation based on information-based covariance intersection algorithms

作者：Mahmoud Magdi S

来源：International Journal of Adaptive Control and Signal Processing, 2016, 30(5): 750-778.

DOI：10.1002/acs.2638

<jats:title>Summary</jats:title><jats:p>A distributed estimation approach is developed in this paper using information matrix filter on a distributed tracking system in which multiple sensors are tracking the same target. The information matrix filter version is derived from covariance intersection, weighted covariance and Kalman‐like particle filter, respectively. The steady performance of these filters is evaluated with different feedback strategies. The developed filters are then validated on an industrial utility boiler.

• 出版日期2016-5