Space-Integrated-Ground Information Networks ›› 2023, Vol. 4 ›› Issue (4): 61-70.doi: 10.11959/j.issn.2096-8930.2023043

• Studies • Previous Articles    

Integrity Monitoring Technology of Mixed Constellation of High, Medium and Low Orbit Navigation Based on Genetic Algorithm Star Selection

Zhengcheng WU1,2, Shaojie NI1,2, Wenxiang LIU1,2, Wei XIAO1,2, Zongnan LI1,2   

  1. 1 College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
    2 Key Laboratory of Satellite Navigation Technology, Changsha 410073, China
  • Revised:2023-11-20 Online:2023-12-01 Published:2023-12-01

Abstract:

Low-orbit satellites are widely used in communication, navigation, remote sensing and other fields, which is of great significance 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 enhancement 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.

Key words: genetic algorithm, receiver autonomous integrity monitoring, high and low medium rail mix, weighted fitness factor

CLC Number: 

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