Results 121 to 130 of about 404 (153)

The application of square-root cubature Kalman filter in SLAM for underwater robot

2017 Chinese Automation Congress (CAC), 2017
For simultaneous localization and mapping(SLAM) of underwater robots, the extended Kalman filter algorithm has the problems of slow convergence rate, low accuracy and poor numerical stability, and square root cubature Kalman filter SLAM algorithm (SRCKF-SLAM) for mobile robots is designed according to cubature Kalman filter (CKF) principle.
Xun Li, Yingbin Feng, Ronghui Huang, Xin Zhang, Shungui Liu, Jingwen Ai   +5 more
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Square-root quaternion cubature Kalman filtering for spacecraft attitude estimation

Acta Astronautica, 2012
Abstract A novel quaternion estimator called square-root quaternion cubature Kalman filter is proposed for spacecraft attitude estimation. The filter approach uses a gyro-based model for quaternion propagation and a reduced quaternion measurement model to substantially reduce the computational costs.
Xiaojun Tang, Zhenbao Liu, Jiasheng Zhang   +2 more
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Design of adaptive robust square-root cubature Kalman filter with noise statistic estimator

Applied Mathematics and Computation, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liqiang Zhao, Jianlin Wang, Tao Yu, Huan Jian, Tangjiang Liu   +4 more
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Order Tracking by Square-Root Cubature Kalman Filter with Constraints

2016
Condition monitoring of mechanical systems is an important topic for the industry because it helps to improve the machine maintenance and reduce the total operational cost associated. In that sense, the vibration analysis is an useful tool for failure prevention in rotating machines, and its main challenge is estimating on-line the dynamic behavior due
Oscar Cardona-Morales, Germán Castellanos-Domínguez   +1 more
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A consensus-based square-root cubature Kalman filter for manoeuvring target tracking in sensor networks

Transactions of the Institute of Measurement and Control, 2020
In this paper, a novel distributed tracking method is proposed for the problem of manoeuvring target tracking in sensor networks. Firstly, an adaptive adjustment tracking model is established by extended state observer (ESO) theory. Then, the consensus-based square-root cubature Kalman filter (SCKF) algorithm is proposed in order to improve the global ...
Zenan Zhong, Enjiao Zhao, Xin Zheng, Xinhua Zhao   +3 more
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Square root cubature Kalman filter for stocchastic metabolic/ hemodynamic model identification

2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017
Based on clinical data collected using different brain imaging and recording techniques, brain researchers built mathematical models of the activity in the human brain. To test these models they simulate them by performing on those models a virtual brain experiment and compare the outputs from those with the real brain activity recordings.
Boureghda Mohammed, Bouden Toufik
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A Modified Adaptive Square-root Cubature Kalman Filter for GNSS/INS Integration

ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation, 2018
In the GNSS/INS integrated navigation system, the filtering accuracy of Square-root Cubature Kalman Filter (SCKF) will reduce when the measurement noise statistics is not precisely known. To solve this problem, a Modified Adaptive SCKF (MASCKF) method is proposed.
Zhe Yue, Baowang Lian, Yang Gao, Shaohua Chen, Ye Wang   +4 more
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Spatial target localization using fuzzy Square-root Cubature Kalman Filter

2016 31st Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2016
The tracking of spatial target based on bearing-only measurements belongs to the strong nonlinear filtermodel. The uncertainty of the statistical characteristics of noise, caused by complicated space environment, leads to reduced accuracy of traditional methods. To improving the accuracy, a new method, Fuzzy Square-root Cubature Kalman Filter (FS-CKF),
Duofu Ye, Haoshen Lin, Xiaojun Yang, Bing He, Dianheng Pan   +4 more
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Square-root algorithms for robust modifications of the continuous-discrete cubature Kalman filter

Вычислительные технологии, 2020
Предложены две устойчивые к ошибкам машинного округления и к аномальным данным квадратно-корневые модификации непрерывно-дискретного кубатурного фильтра Калмана, основанные на вариационном байесовском и коррентропийном подходах. Апробация разработанных алгоритмов на модельной задаче со случайным характером расположения аномальных наблюдений показала их
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Passive Location of Angle Sensors Using Extend Square-Root Cubature Kalman Filter

Applied Mechanics and Materials, 2011
A new nonlinear filter method Cubature Kalman Filter (CKF) is improved for passive location with moving angle-measured sensors’ measurements.Firstly,it used Empirical Mode Decomposition (EMD) algorithm to estimate measurement noise covariance; And then the covariance of the procession noise and measurement noise is brought into the circle; Meanwhile ...
Yang Zhang, Guo Sheng Rui, Jun Miao
openaire   +1 more source