Results 11 to 20 of about 3,355 (179)
Optimization of an unscented Kalman filter for an embedded platform. [PDF]
Comput Biol Med, 2022 Abstract The unscented Kalman filter (UKF) is finding increased application in biological fields. While realizing a complex UKF system in a low-power embedded platform offers many potential benefits including wearability, it also poses significant design challenges. Here we present a method for optimizing a UKF system for realization in
Graybill PP, Gluckman BJ, Kiani M.
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Truncated Unscented Kalman Filtering [PDF]
IEEE Transactions on Signal Processing, 2012 We devise a filtering algorithm to approximate the first two moments of the posterior probability density function (PDF). The novelties of the algorithm are in the update step. If the likelihood has a bounded support, we can use a modified prior distribution that meets Bayes' rule exactly.
García Fernández, Ángel Froilán +2 more
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The Geometric Unscented Kalman Filter
CoRR, 2020 Many filters have been proposed in recent decades for the nonlinear state estimation problem. The linearization-based extended Kalman filter (EKF) is widely applied to nonlinear industrial systems. As EKF is limited in accuracy and reliability, sequential Monte-Carlo methods or particle filters (PF) can obtain superior accuracy at the cost of a huge ...
Chengling Fang +3 more
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Computationally Relaxed Unscented Kalman Filter
IEEE Transactions on Cybernetics, 2023 Advanced robotics and autonomous vehicles rely on filtering and sensor fusion techniques to a large extent. These mobile applications need to handle the computations onboard at high rates while the computing capacities are limited. Therefore, any improvement that lowers the CPU time of the filtering leads to more accurate control or longer battery ...
József Kuti +3 more
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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
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Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter [PDF]
Journal of Astronomy and Space Sciences, 2005 This research supposed when a fictitious KSLV-I space launch vehicle launches from NARO space center. This compared and analyzed the results from real-time trajectory estimation using the Extended Kalman Filter and the Unscented Kalman Filter.
Jeong-Ho Baek +5 more
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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
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Gong-kuang zidonghua, 2014 In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
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Remote Sensing, 2022 Phase unwrapping (PU) is a key program in data processing in the interferometric synthetic aperture radar (InSAR) technique, and its accuracy directly affects the quality of final SAR data products.
Yansuo Zhang +5 more
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Iterative Truncated Unscented Particle Filter
Information, 2020 The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems.
Yanbo Wang +3 more
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