Double hybrid Kalman filtering for state estimation of dynamical systems [PDF]
ITM Web of Conferences, 2019 In this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter).
Michalski Jacek +2 more
doaj +1 more source
Filtering performance analyizing for Relative Navigation using Single Difference Carrier-Phase GPS [PDF]
Journal of Astronomy and Space Sciences, 2008 Satellite formation flying can provide the platform for interferometric observation to acquire the precise data and ensure the flexibility for space mission.
In-Kwan Park +4 more
doaj +1 more source
Unscented Kalman filtering on Lie groups [PDF]
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 In this paper, we first consider a simple Bayesian fusion problem in a matrix Lie group, and propose to tackle it using the unscented transform. The method is then leveraged to derive two simple alternative unscented Kalman filters on Lie groups, for both cases of noisy partial measurements of the state, and full state noisy measurements of the state ...
Martin Brossard +2 more
openaire +1 more source
Friction coefficient estimation using an unscented Kalman filter [PDF]
, 2014 The friction coefficient between a railway wheel and rail surface is a crucial factor in maintaining high acceleration and braking performance of railway vehicles; therefore, monitoring this friction coefficient is important.
Liang, Bo, Zhao, Yunshi, Iwnicki, Simon
core +1 more source
An unscented Kalman filter for freeway traffic estimation [PDF]
, 2006 This paper addresses the problem of freeway tra±c flow estimation. The freeway is considered as a network of components representing different freeway stretches called segments.
HEGYI, A +8 more
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Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation [PDF]
Sensors, 2016 Xi Liu, Pengcheng Yue, Qu Hua
exaly +2 more sources
Process fault prognosis using a fuzzy-adaptive unscented Kalman predictor [PDF]
, 2011 By monitoring the future process status via information prediction, process fault prognosis is able to give an early alarm and therefore prevent faults, when the faults are still in their early stages.
Sheng Chen +5 more
core +1 more source
Research on Aircraft Performance Monitoring Parameter Selection Based on Improved Window Algorithm
Hangkong gongcheng jinzhan, 2021 The suitable aircraft performance monitoring(APM)parameters selection method can realize the efficient selection of domestic civil cruising APM parameters,which can provide the reliable data basis of aircraft performance analysis and calculation.The Sage-
QIAN Yu, WANG Lixin, LIU Yu
doaj +1 more source
Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
core +1 more source
Battery State Estimation Using Unscented Kalman Filter [PDF]
, 2009 Online evaluation of battery State of Function (SOF) is crucial for battery management systems of autonomous mobile robots. Battery State of Charge (SOC) represents its remaining energy available, whereas internal resistance and capacity reflect its ...
Fang LJ(房立金) +5 more
core +1 more source