Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor

Abstract

This paper presents analysis and improvements on a star identification algorithm based on singular value decomposition . To improve the identification results, modifications have been made to the algorithm. Moreover, analysis and simulation are presented to investigate the effect of field of view dimensions and the number of stars used on the identification results, and the rate of duplicate sets in the database. In addition, identification has been considered a two-step process based on singular values and vectors. The results show the superiority of the improved algorithm in increasing the identification rate and reducing the rate of duplicate sets in the database. The identification rate of the improved algorithm in 𝟏𝟎 ° × 𝟏𝟎 ° and 𝟏𝟐 ° × 𝟏𝟐 ° fields of view dimension is always more the %97.