基于创新的卡尔曼滤波器故障检测和排除方法,用于紧密耦合的 GNSS/INS/Vision 集成的全源故障

IF 4.5 1区 地球科学 Q1 REMOTE SENSING
Haitao Jiang, Dayu Yan, Jiale Wang, Jie Yin
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引用次数: 0

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Innovation-based Kalman filter fault detection and exclusion method against all-source faults for tightly coupled GNSS/INS/Vision integration
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来源期刊
GPS Solutions
GPS Solutions 工程技术-遥感
CiteScore
8.10
自引率
12.20%
发文量
138
审稿时长
3.1 months
期刊介绍: GPS Solutions is a scientific journal. It is published quarterly and features system design issues and a full range of current and emerging applications of global navigation satellite systems (GNSS) such as GPS, GLONASS, Galileo, BeiDou, local systems, and augmentations. Novel, innovative, or highly demanding uses are of prime interest. Areas of application include: aviation, surveying and mapping, forestry and agriculture, maritime and waterway navigation, public transportation, time and frequency comparisons and dissemination, space and satellite operations, law enforcement and public safety, communications, meteorology and atmospheric science, geosciences, monitoring global change, technology and engineering, GIS, geodesy, and others. GPS Solutions addresses the latest developments in GNSS infrastructure, mathematical modeling, algorithmic developments and data analysis, user hardware, and general issues that impact the user community. Contributions from the entire spectrum of GNSS professionals are represented, including university researchers, scientists from government laboratories, receiver industry and other commercial developers, public officials, and business leaders.
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