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中文摘要：
为了解决星光导航中捕获星体速度慢的问题，提高星光导航中飞行器姿态确定的实时性，根据星空中星体分布的特点，以及星敏感器捕获星体的原理，采用标准天文星表中的星体数据作为样本数据，提出了一种三星星图划分算法．采用天体几何学理论，分析了星空中星体之间的几何关系，建立了三星星图划分模型．仿真结果表明：与传统的两星星图划分算法比较，该算法对星敏感器精确度要求更低，并具有更高的星图识别率．
英文摘要：
A three-star-map dividing algorithm is presented to solve the problem of capturing stars slowly in the course of celestial navigation, as well as reducing the time spent in calculating the attitude of space vehicles. Based on the distribution of the stars in the starry sky and the principle of capturing stars through star sensors, this algorithm takes the star data in the standard celestial star catalog as a sample data. According to the celestial geometry theory, the geometry relationship between stars in the sky is analyzed, and the model of the three-star-map dividing algorithm is built. Simulation results show that the three star-map dividing algorithm requires less precision of star sensors and is more efficient in the star map recognition ratios by contrast to traditional two-star-map dividing algorithm.
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Game-theoretic modeling of joint topology control and power scheduling for wireless heterogeneous se
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