Results 11 to 20 of about 321,013 (282)
An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems
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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IEEE Access, 2018 In tracking a maneuverable target, a proper estimation method with better filtering accuracy, stronger robustness, and faster convergence speed is crucial to the tracking system.
Jian Wang, Tao Zhang, Xiang Xu, Yao Li
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Target tracking algorithm based on adaptive strong tracking particle filter
IET Science, Measurement & Technology, 2016 The primary problem of tracking filtering algorithms is the tracking stability and effectiveness of target states. Based on the particle filter, an adaptive strong tracking particle filter algorithm is proposed in this study. According to the residual between actual measurement values and predicted measurement values of every moment, adjustment of the ...
Li Jia‐qiang +4 more
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Joint estimation and localization in sensor networks [PDF]
, 2014 This paper addresses the problem of collaborative tracking of dynamic targets in wireless sensor networks. A novel distributed linear estimator, which is a version of a distributed Kalman filter, is derived.
Atanasov, Nikolay +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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Object Tracking Algorithm with Fusion of Multi-feature and Channel Awareness [PDF]
Jisuanji kexue yu tansuo, 2022 In order to solve the problem of drift or overfitting in the tracking process of depth feature description target, an object tracking algorithm combining multiple features and channel perception is proposed.
ZHAO Yunji, FAN Cunliang, ZHANG Xinliang
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Combination of IMM Algorithm and ASTRWCKF for Maneuvering Target Tracking
IEEE Access, 2020 In this paper, an improved interactive multiple model adaptive strong tracking random weighted cubature Kalman filter (IIMM-ASTRWCKF) algorithm is developed to overcome the low tracking accuracy and easy divergence when dealing with complex maneuvering ...
Jian Ma, Xiaoting Guo
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Analysis on Strong Tracking Filtering for Linear Dynamic Systems [PDF]
Mathematical Problems in Engineering, 2015 Strong tracking filtering (STF) is a popular adaptive estimation method to effectively deal with state estimation for linear and nonlinear dynamic systems with inaccurate models or sudden change of state. The key of the STF is to use a time-variant fading factor, which can be evaluated based on the current measurement innovation in real time, to ...
Ge, Quanbo +3 more
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Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion [PDF]
, 2009 Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to the object dynamics.
Blanco Adán, Carlos Roberto del +3 more
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Distributed consensus strong tracking filter for wireless sensor networks with model mismatches
International Journal of Distributed Sensor Networks, 2017 A distributed consensus strong tracking filter is developed and investigated for the target tracking problems with model mismatches in wireless sensor networks.
Quansheng Liu, Chongpeng Huang, Li Peng
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