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A Survey of Lost-in-Space Star Identification Algorithms Since 2009

2020; Multidisciplinary Digital Publishing Institute; Volume: 20; Issue: 9 Linguagem: Inglês

10.3390/s20092579

1424-8220

David Rijlaarsdam, Hamza Yous, Jonathan Byrne, Davide Oddenino, Gianluca Furano, David Moloney,

Target Tracking and Data Fusion in Sensor Networks

The lost-in-space star identification algorithm is able to identify stars without a priori attitude information and is arguably the most critical component of a star sensor system. In this paper, the 2009 survey by Spratling and Mortari is extended and recent lost-in-space star identification algorithms are surveyed. The covered literature is a qualitative representation of the current research in the field. A taxonomy of these algorithms based on their feature extraction method is defined. Furthermore, we show that in current literature the comparison of these algorithms can produce inconsistent conclusions. In order to mitigate these inconsistencies, this paper lists the considerations related to the relative performance evaluation of these algorithms using simulation.