Consensus labeled multi-Bernoulli filtering for distributed space debris tracking
Baishen Wei, Brett Nener · 2017
Space debris poses great challenge for the safe operation of spacecraft. This paper addresses the problem of distributed space debris tracking with consensus Labeled Multi-Bernoulli filtering. Sensor network of nodes with sensing, processing and communication capabilities is used to track space debris. Labeled Multi-Bernoulli filtering is used as the tracking filter. Data incest problem is solved by Kullback-Leibler Averaging. Simulation experiments confirm the effectiveness of the proposed algorithm.