中国科学院计算技术研究所机构知识库

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限定条件	作者：Zhao, Fang    第一作者

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	T-SPP: Improving GNSS Single-Point Positioning Performance Using Transformer-Based Correction 期刊论文 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2024, 卷号: 2024, 页码: 15 作者:  Wu, Fan;  Wei, Liangrui;  Luo, Haiyong;  Zhao, Fang;  Ma, Xin;  Ning, Bokun 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
	Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5 作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Zhao, Fang 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Technological innovation  Global navigation satellite system  Navigation  Feature extraction  Adaptation models  Measurement uncertainty  Kalman filters  Deep learning  extended Kalman filter (EKF)  innovation matrix  integrated navigation
	Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation 期刊论文 REMOTE SENSING, 2022, 卷号: 14, 期号: 7, 页码: 22 作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Wu, Fan;  Bao, Linfeng;  Zhao, Fang 收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07 tightly coupled integrated navigation  measurement noise estimation  transformer  adaptive Kalman filtering
	Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13 作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile 收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01 Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise
	Location Fingerprint Extraction for Magnetic Field Magnitude Based Indoor Positioning 期刊论文 JOURNAL OF SENSORS, 2016, 页码: 16 作者:  Shao, Wenhua;  Zhao, Fang;  Wang, Cong;  Luo, Haiyong;  Zahid, Tunio Muhammad;  Wang, Qu;  Li, Dongmeng 收藏  |  浏览/下载：38/0  |  提交时间：2019/12/12