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基于观测能力定量表征的多源融合自适应滤波方法

李嘉兴 王大轶 侯博文 邓润然 董天舒 符方舟

深空探测学报(中英文)2025,Vol.12Issue(2):153-161,9.
深空探测学报(中英文)2025,Vol.12Issue(2):153-161,9.DOI:10.15982/j.issn.2096-9287.2025.20250002

基于观测能力定量表征的多源融合自适应滤波方法

Multi-Source Fusion Adaptive Filtering Method Based on Quantitative Characterization of Observability

李嘉兴 1王大轶 1侯博文 2邓润然 1董天舒 1符方舟3

作者信息

  • 1. 北京空间飞行器总体设计部,北京 100094
  • 2. 国防科技大学 理学院,长沙 410073
  • 3. 中山大学 航空航天学院,深圳 518107
  • 折叠

摘要

Abstract

A multi-source fusion adaptive filtering method based on the quantitative characterization of observability was proposed to address the problem of severe resource constraints of deep space probes and the difficulty of realizing autonomous navigation with multi-source heterogeneous data fusion.By constructing a variable-channel adaptive fusion structure,evaluating the observability degrees of the filter channel subsystems of each sensitizer on-line based on the quantitative characterization of system observability analysis,and flexibly configuring and dynamically adjusting the number of channels and weights of the source channels,adaptive fusion of multi-source heterogeneous information for autonomous operation of deep space probes was realized.Compared with the traditional pre-fusion structure,the dynamic adjustment of the filter structure with the change of the observability degrees of the measurement data not only solves the computational burden of the spatial-temporal alignment of heterogeneous information,but also avoids the influence of the degradation of the performance of a single sensitizer or subsystem on the fusion accuracy,and minimizes the complexity and redundancy of the filter structure.Through mathematical simulations,it has been verified that in the navigation processes of the long-distance approaching phase and the close-range landing phase,this method has basically the same navigation accuracy as traditional fusion methods.However,due to its ability to adaptively optimize the selection of measurement data and the filtering structure,the computational load is significantly reduced.This method can provide theoretical and technical support for autonomous navigation in deep space exploration.

关键词

观测能力/多源融合/自主导航/自适应滤波

Key words

observability/multi-source fusion/autonomous navigation/adaptive filtering

分类

航空航天

引用本文复制引用

李嘉兴,王大轶,侯博文,邓润然,董天舒,符方舟..基于观测能力定量表征的多源融合自适应滤波方法[J].深空探测学报(中英文),2025,12(2):153-161,9.

基金项目

国家重点研发计划项目(2019YFA0706500) (2019YFA0706500)

国家自然科学基金(U20B2055,61525301) (U20B2055,61525301)

深空探测学报(中英文)

OA北大核心

2096-9287

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