多普勒星速（DVS）辅助 SINS 集成导航的导航星选择优化策略

IF 8.9 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Internet of Things Journal Pub Date : 2025-04-01 DOI:10.1109/JIOT.2025.3556600

Huang Yueqing;Yang Yuqing;Yang Haonan

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引用次数: 0

摘要

多普勒星速（DVS）辅助捷联惯导系统（SINS/DVS）组合导航（SINS/DVS）是一种修正航天器速度误差的有效方法，但其导航精度受导航星几何分布的显著影响。为解决这一问题，研究了恒星几何形状对分布式交换机测量误差传输的影响，并基于测量模型推导了恒星几何分布与航天器速度误差之间的关系。结果表明，速度误差与几何分布呈负相关。然后，提出了一种基于几何分布的星型优化策略，并给出了优化指标k的计算方法。为了验证基于k的优化策略的有效性，对SINS/ dvs组合导航在多种导航星组下的性能进行了评估。结果表明：导航误差随k的增大而减小，当k = 0.4758时，速度误差仅为k = 0.0021时的10.39%；因此，k可以作为SINS/ dvs组合导航导航星优化的评价指标。

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Optimization Strategy of Navigation Star Selection for Doppler Velocity of the Star (DVS) Aided SINS Integrated Navigation

Doppler velocity of star (DVS)-aided strap-down inertial navigation system (SINS)-integrated navigation (SINS/DVS) is an effective method for correcting spacecraft velocity errors, but its navigation accuracy is significantly affected by the geometric distribution of navigation stars. To solve this problem, the effect of star geometry on the transmission of the measurement errors of DVS is studied, and the relationship between the geometric distribution of stars and spacecraft velocity error is derived based on the measurement model. The results show that velocity error is negative correlated with geometric distribution. Then, a star optimization strategy based on geometric distribution is proposed, and the calculation of the optimization index k is given. To verify the effectiveness of the newly proposed optimization strategy based on k, the performance of SINS/DVS-integrated navigation under a variety of navigation star groups is evaluated. The results show that the navigation error decreases with increasing k. When k is 0.4758, the velocity error is only 10.39% of that when k is 0.0021. Thus, k can be used as an evaluation index for optimizing the navigation stars of SINS/DVS-integrated navigation.

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来源期刊

IEEE Internet of Things Journal Computer Science-Information Systems

CiteScore

17.60

自引率

13.20%

发文量

1982

期刊介绍： The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.