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北京航空航天大学 [13]
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会议论文 [9]
期刊论文 [4]
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2018 [3]
2017 [2]
2016 [4]
2015 [2]
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专题:北京航空航天大学
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Recursive filtering for complex networks using non-linearly coupled UKF
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 页码: 549-555
作者:
Li, Wenling
;
Meng, Cong
;
Jia, Yingmin
;
Du, Junping
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Kalman filters
Stochastic systems
Boundedness
Coupling strengths
Discrete time
Estimation errors
Nonlinearly coupled
Recursive filtering
Stochastic analysis
Unscented Kalman Filter
Complex networks
Emitter localization using a single moving observer based on UKF
会议论文
International Conference on Communication Technology Proceedings, ICCT
作者:
Yilong, Z.
;
Shuguo, X.
;
Meiling, Y.
;
Ming, Z.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Equations of state
Global positioning system
Iterative methods
Location
RSS
Software radio
Software testing
Wavelet analysis
Emitter localization
K-means clustering
K-Means clustering algorithm
Localization errors
Observation equation
Received signal strength
Universal software radio peripheral (USRP)
Unscented Kalman Filter
Clustering algorithms
Implicit Augmented UKF and Its Application to the Stellar Refraction Navigation
期刊论文
JOURNAL OF AEROSPACE ENGINEERING, 2018, 卷号: 31
作者:
Ning, Xiaolin
;
Wang, Fan
;
Sun, Xiaohan
;
Liu, Jin
;
Fang, Jiancheng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Stellar refraction navigation
Implicit measurement model
Implicit extended Kalman filter (IEKF)
Implicit UKF
Implicit augmented unscented Kalman filter (IAUKF)
Online Estimation for Vehicle Center of Gravity Height Based on Unscented Kalman Filter
会议论文
2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS), 2017-01-01
作者:
Deng, Zejian
;
Chu, Duanfeng
;
Tian, Fei
;
He, Yi
;
Wu, Chaozhong
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/30
Center of Gravity height
parameter estimation
unscented Kalman filter (UKF)
vehicle dynamics
捷联惯导/天文导航/合成孔径雷达组合导航系统
期刊论文
仪器仪表学报, 2017, 卷号: 38, 页码: 2667-2674
作者:
李群生
;
赵剡
;
鲁浩
;
徐剑芸
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
巡航导弹 捷联惯性/天文导航/合成孔径雷 无迹卡尔曼滤波 组合导航 cruise missile strapdown inertial navigation system/celestial navigation system/synthetic aperture radar (SINS/CNS/SAR) unscented Kalman filter (UKF) integrated navigation
Waveform-agile Unscented Kalman Filter for Radar Target Tracking
会议论文
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016-01-01
作者:
Wang, Bingbing
;
Sun, Jinping
;
Zhang, Xuwang
;
Yang, Xiuwei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
dynamic waveform selection
UKF
target tracking
radar
Improved Float Ambiguities for Real-Time GNSS Attitude Determination via UKF
会议论文
2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP), 2016-01-01
作者:
Yang, Ying
;
Li, Yong
;
Chen, Pei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Deywords Real-time attitude determination
Float ambiguity
Unscented Kalman filter
Multi-antenna configuration
Improved Float Ambiguities for Real-Time GNSS Attitude Determination via UKF
会议论文
8th International Conference on Wireless Communications & Signal Processing (WCSP), Yangzhou, PEOPLES R CHINA, 2016-10-13
作者:
Yang, Ying
;
Li, Yong
;
Chen, Pei
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Deywords Real-time attitude determination
Float ambiguity
Unscented Kalman filter
Multi-antenna configuration
Waveform-agile Unscented Kalman Filter for Radar Target Tracking
会议论文
9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Datong, PEOPLES R CHINA
作者:
Wang, Bingbing
;
Sun, Jinping
;
Zhang, Xuwang
;
Yang, Xiuwei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
dynamic waveform selection
UKF
target tracking
radar
A Novel Fault Detection Method Based on the UKF and Its Application to a Fifth-Order Two-Phase Nonlinear Motor System
会议论文
7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Hangzhou, PEOPLES R CHINA, 2015-01-01
作者:
Liu, Chang
;
Wang, Honglun
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/01/06
fault detection
unscented Kalman filter
local approach
nonlinear motor system
noisy conditions
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