Strong Tracking Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking [PDF]
Sensors, 2017 Conventional spherical simplex-radial cubature Kalman filter (SSRCKF) for maneuvering target tracking may decline in accuracy and even diverge when a target makes abrupt state changes.
Hua Liu, Wen Wu
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An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems [PDF]
Sensors, 2018 The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation systems. However, its performance may decline in accuracy and even diverge in the presence of process uncertainties. To solve the problem, a new algorithm
Kaiqiang Feng +7 more
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Improved Strong Tracking Cubature Kalman Filter for UWB Positioning [PDF]
Sensors, 2023 For the problems of Non-Line-of-Sight (NLOS) observation errors and inaccurate predictive dynamics model in wireless ultra-wideband (UWB) positioning systems, an improved strong tracking cubature Kalman filter (ISTCKF) positioning algorithm is proposed ...
Yuxiang Pu +6 more
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Adaptive Strong Tracking Square-Root Cubature Kalman Filter for Maneuvering Aircraft Tracking
IEEE Access, 2018 A novel strong tracking square-root cubature Kalman filter (SCKF) based on the adaptive current statistical (CS) model is proposed aiming at the maneuvering aircraft tracking problem.
Haowei Zhang +4 more
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Strong Tracking PHD Filter Based on Variational Bayesian with Inaccurate Process and Measurement Noise Covariance [PDF]
Sensors, 2021 Assuming that the measurement and process noise covariances are known, the probability hypothesis density (PHD) filter is effective in real-time multi-target tracking; however, noise covariance is often unknown and time-varying for an actual scene.
Zhentao Hu +4 more
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A Strong Tracking Mixed-Degree Cubature Kalman Filter Method and Its Application in a Quadruped Robot. [PDF]
Sensors (Basel), 2020 The motion state of a quadruped robot in operation changes constantly. Due to the drift caused by the accumulative error, the function of the inertial measurement unit (IMU) will be limited.
Liu J +5 more
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Random Weighting, Strong Tracking, and Unscented Kalman Filter for Soft Tissue Characterization [PDF]
Sensors, 2018 This paper presents a new nonlinear filtering method based on the Hunt-Crossley model for online nonlinear soft tissue characterization. This method overcomes the problem of performance degradation in the unscented Kalman filter due to contact model ...
Jaehyun Shin +3 more
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Online Sensor Fault Detection Based on an Improved Strong Tracking Filter [PDF]
Sensors, 2015 We propose a method for online sensor fault detection that is based on the evolving Strong Tracking Filter (STCKF). The cubature rule is used to estimate states to improve the accuracy of making estimates in a nonlinear case. A residual is the difference
Lijuan Wang +3 more
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Aerospace, 2022 An adaptive weighted strong tracking unscented Kalman filter is proposed in this paper for long-range relative navigation alongside non-cooperative maneuvering targets. First, an equation for obtaining the relative motion of two bodies is derived, it can
Pu Huang +3 more
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Applied Sciences, 2022 Hypersonic targets have complex motion states and high maneuverability. The traditional interactive multi-model (IMM) has low tracking accuracy and a slow convergence speed.
Yalun Luo +4 more
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