天地一体化信息网络2023,Vol.4Issue(4):61-70,10.DOI:10.11959/j.issn.2096-8930.2023043
基于遗传算法选星的高中低轨导航混合星座完好性监测技术
Integrity Monitoring Technology of Mixed Constellation of High,Medium and Low Orbit Navigation Based on Genetic Algorithm Star Selection
吴政城 1倪少杰 1刘文祥 1肖伟 1李宗楠1
作者信息
- 1. 国防科技大学电子科学学院,湖南 长沙 410073||卫星导航技术重点实验室,湖南 长沙 410073
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摘要
Abstract
Low-orbit satellites are widely used in communication,navigation,remote sensing and other fields,which is of great signifi-cance to meet the needs of communication and improve the accuracy of navigation and positioning.Integrity technology is an important guarantee for the safe and reliable operation of satellite navigation system.With the mature development of low orbit technology and the gradual application of a large number of low orbit satellites,it is urgent to develop the system integrity monitoring technology under the condition of mixed constellation of high and low orbits.This paper proposed a hybrid constellation integrity monitoring technology for high,middle and low orbit navigation based on genetic algorithm for star selection.On the basis of the traditional optimal geometric accuracy factor selection method,genetic algorithm was introduced to construct a fitness factor based on the linear weighted feature slope of the satellite geometric observation matrix,so as to achieve rapid convergence of user protection level to protection limit.This method further improved the integrity of the receiver by optimizing the way of star selection.Under the accuracy requirement of CAT I,for the"BeiDou+StarNet-1"constellation,the global availability level of the proposed algorithm was 5.60%,and the en-hancement effect was the best for the mid-latitude and low-latitude of the Eastern Hemisphere,which were increased by 7.01%and 6.42%,respectively.关键词
遗传算法/接收机自主完好性监测/高中低轨混合/加权适应度因子Key words
genetic algorithm/receiver autonomous integrity monitoring/high and low medium rail mix/weighted fitness factor分类
信息技术与安全科学引用本文复制引用
吴政城,倪少杰,刘文祥,肖伟,李宗楠..基于遗传算法选星的高中低轨导航混合星座完好性监测技术[J].天地一体化信息网络,2023,4(4):61-70,10.