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	LEO-Enhanced GNSS/INS Tightly Coupled Integration Based on Factor Graph Optimization in the Urban Environment 期刊论文 OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 10, 页码: 22 作者: Zhang, Shixuan; Tu, Rui; Gao, Zhouzheng; Zou, Decai; Wang, Siyao \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2025/04/03 Global Navigation Satellite Systems (GNSS) Inertial Navigation System (INS) Low Earth Orbit (LEO) extended Kalman filter (EKF) factor graph optimization (FGO) tightly coupled integration (TCI)
	Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 450-465 作者: Lujuan Dang; Badong Chen; Yulong Huang; Yonggang Zhang; Haiquan Zhao \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/03/09 Cubature Kalman filter (CKF) inertial navigation system (INS)/global positioning system (GPS) integration minimum error entropy with fiducial points (MEEF) non-Gaussian noise
	Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages 期刊论文 OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 16 作者: Lu, Shuangqiu; Gong, Yilin; Luo, Haiyong; Zhao, Fang; Li, Zhaohui \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/12/01 Artificial intelligence (AI) and neural networks (NNs) global position system (GPS) outages inertial navigation system (INS)/GPS integrated navigation multi-task learning (MTL) multiple pseudo-measurement estimation
	基于db5小波分析的ublox惯导信息去噪实现期刊论文 OAI收割时间频率学报, 2020, 卷号: 43, 期号: 1, 页码: 54 作者: 于露; 马红皎; 罗近涛; 胡永辉 \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2020/08/31 u-blox Allan variance wavelets Inertial Navigation System (INS) u-blox Allan方差小波分析惯性导航
	A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions 期刊论文 OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 747-760 作者: Mohammad Majidi; Alireza Erfanian; Hamid Khaloozadeh \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/02/23 Inertial navigation system (INS)/global positioning system (GPS) integration unmanned aerial vehicles (UAVs) position estimation spoofing particle based filters.
	INS's error compensation on the base of the celestial theodolite (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China 作者: Guo L.-H.; Zhao H.-B. 收藏 \| 浏览/下载：70/0 \| 提交时间：2013/03/25 In recent years there has been a major upsurge of interest in the integrated inertial navigation system (INS)/celestial navigation system (CNS) as a cost-effective way of providing accurate and reliable navigation aid for civil and military vehicles (ships aircrafts land vehicles and so on). One of the disadvantages of INS is its errors will grow unbounded. The CNS can be used to improve position estimation resulting from INS measurement. This paper describes the design of this. An error model developed earlier is used for CNS/INS filter (Kalman filter) mechanization. In CNS celestial theodolite acquires an image of the sky recognize the most brilliant stars in the image creates with them a "constellation" and searches for this pattern in an on board star catalogue of the observed region to get the precise position and attitude information of vehicles. The Kalman filter method is used to fuse measurement from the system. We can use this information to compensate INS's error. The tests carry out with this system show that system will get accurate navigation information.