Global tracking of space debris via CPHD and consensus. Issue 10 (15th May 2017)

• Record Type: Journal Article
• Authors: Wei, Baishen; Nener, Brett; Liu, Weifeng; Ma, Liang
• Is Part Of: Advances in space research. Volume 59:Issue 10(2017)
• Page Start: 2548
• Page End: 2562
• Publication Date: 2017-05-15
• Subjects: CPHD -- Consensus -- Space debris -- Tracking -- Multi-sensor fusion; Space sciences -- Periodicals; Astronautics -- Periodicals; Geophysics -- Periodicals; 500.505
• DOI: 10.1016/j.asr.2017.03.002
• Languages: English
• ISSNs: 0273-1177

Abstract

Abstract: Space debris tracking is of great importance for safe operation of spacecraft. This paper presents an algorithm that achieves global tracking of space debris with a multi-sensor network. The sensor network has unknown and possibly time-varying topology. A consensus algorithm is used to effectively counteract the effects of data incest. Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filtering is used to estimate the state of the space debris. As an example of the method, 45 clusters of sensors are used to achieve global tracking. The performance of the proposed approach is demonstrated by simulation experiments.