Results 41 to 50 of about 404 (153)
Mathematics, 2023 For nonlinear discrete systems with dual unknown inputs, there are many limitations regarding previous nonlinear filters. This paper proposes two new, improved square-root cubature Kalman filtering (ISRCKF) algorithms to estimate system states and dual ...
Zihao Lu, Na Wang, Shigui Dong
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Application of Strong Tracking Modified SRCKF Algorithm in Single Observer Passive Tracking [PDF]
Jisuanji gongcheng, 2016 In order to improve the performance of Square Root Cubature Kalman Filtering(STSRCKF) algorithm to track maneuvering target in single observer passive tracking,a Strong Tracking Modified SRCKF(ST-MSRCKF) algorithm is presented.Target state variables and ...
ZHANG Zhuoran,YE Guangqiang,ZHAO Xiaolin
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Adaptive Cubature Kalman Filter Based on the Expectation-Maximization Algorithm
IEEE Access, 2019 A cubature Kalman filter is considered to be one of the most useful methods for nonlinear systems. However, when the statistical characteristics of noise are unknown, the estimation accuracy is degraded. Therefore, an adaptive square-root cubature Kalman
Weidong Zhou, Lu Liu
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Sensorless control of PMSM using an adaptively tuned SCKF
The Journal of Engineering, 2019 This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath +1 more
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Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm
International Journal of Aerospace Engineering, 2020 Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness.
FengJun Hu, Qian Zhang, Gang Wu
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Sensors, 2022 The accurate estimation of the mass and center of gravity (CG) position is key to vehicle dynamics modeling. The perturbation of key parameters in vehicle dynamics models can result in a reduction of accurate vehicle control and may even cause serious ...
Zhiguo Zhang, Guodong Yin, Zhixin Wu
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Extended Kalman Filter Using Orthogonal Polynomials
IEEE Access, 2021 This paper reports a new extended Kalman filter where the underlying nonlinear functions are linearized using a Gaussian orthogonal basis of a weighted $\mathcal {L}_{2}$ space.
Kundan Kumar +2 more
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Research on Landmarks of SLAM Based on Square Root Cubature Kalman Filter
Journal of Physics: Conference Series, 2018 Under the large noise, the system's observability is weak, which leads to the instability of the filtering algorithm and the slow convergence speed. The algorithm of simultaneous localization and mapping based on the square-root Cubature Kalman filter (SRCKF) with Spherical Simplex(SS) was proposed in this paper.
Dandan Wang +3 more
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Micromachines, 2023 With the development of location-based service (LBS), indoor positioning based on pedestrian dead reckoning (PDR) has become a hot research topic. Smartphones are becoming more popular for indoor positioning.
Jijun Geng +3 more
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DVL-Aided SINS In-Motion Alignment Filter Based on a Novel Nonlinear Attitude Error Model
IEEE Access, 2019 A novel nonlinear attitude error model based on square root cubature information filter (SR-CIF) is proposed aiming to speed up the convergence rate of DVL-aided strapdown inertial navigation system (SINS) in-motion initial alignment for autonomous ...
Lu Zhang +3 more
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