Results 31 to 40 of about 1,611 (218)
Tracking maneuver target using interacting multiple model-square root cubature Kalman filter based on range rate measurement [PDF]
International Journal of Distributed Sensor Networks, 2017 The problem of maneuvering target tracking is a hot issue in the field of target tracking. Due to the range rate measurement containing the maneuvering information of target, it has the important practical significance to study how to use the range rate ...
Hongqiang Liu +2 more
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An Adaptive Cubature Kalman Filter for Target Tracking [PDF]
Journal of Electrical and Computer Engineering Innovations, 2022 Background and Objectives:The target tracking problem is an essential component of many engineering applications.The extended Kalman filter (EKF) is one of the most well-known suboptimal filter to solve target tracking.
R. Havangi
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International Journal of Aerospace Engineering, 2021 A novel H∞ filter called square-root cubature H∞ Kalman filter is proposed for attitude measurement of high-spinning aircraft. In this method, a combined measurement model of three-axis geomagnetic sensor and gyroscope is used, and the Euler angle ...
Ping-an Zhang +3 more
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Robust Estimation in Continuous–Discrete Cubature Kalman Filters for Bearings-Only Tracking
Applied Sciences, 2022 The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in bearings-only tracking.
Haoran Hu, Shuxin Chen, Hao Wu, Renke He
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SN Applied Sciences, 2022 In this paper, a risk sensitive estimator based on cubature quadrature Kalman filter is formulated and applied for tracking a ballistic object during its re-entry phase.
Swati
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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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An Improved Location Algorithm by Extend Square-root Cubature Kalman Filter [PDF]
Journal of Computers, 2013 In this paper, the new nonlinear filter method Cubature Kalman Filter (CKF) is improved to solve the passive location problem. Firstly, the Empirical Mode Decomposition (EMD) algorithm is used to estimate the new measurement noise covariance in the filter process; And then the new covariance of the noise is brought into the circle; Meanwhile, the ...
Rui Guo Sheng, Yang Zhang, Jun Miao
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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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