A triangle voting algorithm based on double feature constraints for star sensors

作者：Fan, Qiaoyun^*; Zhong, Xuyang

来源：Advances in Space Research, 2018, 61(4): 1132-1142.

DOI：10.1016/j.asr.2017.11.042

• Star sensor
• Star identification
• Triangle voting
• Feature extraction
• Double feature constraints scheme

A novel autonomous star identification algorithm is presented in this study. In the proposed algorithm, each sensor star constructs multi-triangle with its bright neighbor stars and obtains its candidates by triangle voting process, in which the triangle is considered as the basic voting element. In order to accelerate the speed of this algorithm and reduce the required memory for star database, feature extraction is carried out to reduce the dimension of triangles and each triangle is described by its base and height. During the identification period, the voting scheme based on double feature constraints is proposed to implement triangle voting. This scheme guarantees that only the catalog star satisfying two features can vote for the sensor star, which improves the robustness towards false stars. The simulation and real star image test demonstrate that compared with the other two algorithms, the proposed algorithm is more robust towards position noise, magnitude noise and false stars.

• 出版日期2018-2-15
• 单位北京航空航天大学