Consensus labeled multi-Bernoulli filtering for distributed space debris tracking

Abstract

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.