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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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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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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Improved Strong Tracking Cubature Kalman Filter for UWB Positioning
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 Integrated Navigation Algorithm Based on Interactive Filter [PDF]
SensorsTo address the diverse requirements of accuracy and robustness in integrated navigation for unmanned aerial vehicles, an interactive robust filter algorithm that integrates the interactive multiple model concept and leverages the complementary ...
Bin Zhao +4 more
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Vehicle Target Tracking Algorithm Based on Improved Strong Tracking Unscented Kalman Filter
Applied SciencesThe tracking accuracy of the traditional Strong Tracking Unscented Kalman Filter algorithm (ST-UKF) decreases when the motion state of the traffic target changes significantly.
Feng Tian +3 more
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Strong tracking dimensionality-reduction CKF algorithm for SINS initial alignment under large misalignment angle [PDF]
Scientific ReportsInitial alignment is the prerequisite and foundation for the normal operation of the Strapdown Inertial Navigation System (SINS). Kalman filtering and various evolution algorithms are commonly employed tools for achieving initial alignment.
Yong Yang +3 more
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High‐Order Extended Strong Tracking Filter [PDF]
Chinese Journal of Electronics, 2021 A novel High-order extended Strong tracking filter (H-STF) is proposed for a class of nonlinear systems. All high-order polynomial terms in the state model are regarded as implicit variables; the original state model is equivalently formulated into a pseudo-linear form; the dynamic relationship between each implicit variable and all variables is ...
SUN Xiaohui +4 more
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Strong tracking extended particle filter for manoeuvring target tracking [PDF]
IET Radar, Sonar & Navigation, 2020 To improve the stability and accuracy of manoeuvring target tracking in three‐dimensional space based on the angle of arrival (AOA) and its rate of change observations, this study presents a new observation fusion method by fusing the received signal strength (RSS) with AOA and the rate of change of AOA.
Zhilei Ge +4 more
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Distortion-Aware Correlation Filter Object Tracking Algorithm [PDF]
Jisuanji kexue yu tansuo, 2023 A distortion-aware correlation filter object tracking algorithm is proposed to address the problem that the existing correlation filters have insufficient ability to deal with target distortion and the filter model updating error accumulation easily ...
JIANG Wentao, REN Jinrui
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