Star map recognition algorithm under large maneuvering condition based on star point re-extraction

• Main Authors: SUN SHUODONG, BAO QILIAN, ZHANG XUWEI, LIU LIN
• Format: Patent
• Language: Chinese; English
• Published: 17.04.2020
• Subjects: GYROSCOPIC INSTRUMENTS; MEASURING; MEASURING DISTANCES, LEVELS OR BEARINGS; NAVIGATION; PHOTOGRAMMETRY OR VIDEOGRAMMETRY; PHYSICS; SURVEYING; TESTING

The invention discloses a star map recognition algorithm based on star point re-extraction under a large maneuvering condition, and relates to the field of star map recognition algorithms, and the algorithm comprises the following steps: step 1, extracting star points of a star map by adopting a block extreme value method; 2, identifying the star map by adopting a triangle algorithm; and 3, estimating an attitude by adopting a QUEST algorithm to obtain an estimated value of the attitude, re-extracting the star points, and re-estimating the attitude. According to the method, the time consumed for star point extraction in the star map under the large maneuvering condition is shortened, the accuracy of attitude estimation is improved, and rapid and high-precision star point extraction and star map recognition effects under the large maneuvering condition are achieved. 本发明公开了一种基于星点重提取的大机动条件下星图识别算法，涉及星图识别算法领域，所述算法包括以下步骤：步骤1、采用分块极值法提取星图的星点；步骤2、采用三角形算法识别所述星图；步骤3、采用QUEST算法估计姿态，得到所述姿态的估计值，并进行所述星点的重提取，重新估计所述姿态。本发明缩短了大机