A Cubature-Principle-Assisted IMM-Adaptive UKF Algorithm for Maneuvering Target Tracking Caused by Sensor Faults
نویسندگان
چکیده
منابع مشابه
A Cubature-Principle-Assisted IMM-Adaptive UKF Algorithm for Maneuvering Target Tracking Caused by Sensor Faults
Aimed at solving the problem of decreased filtering precision while maneuvering target tracking caused by non-Gaussian distribution and sensor faults, we developed an efficient interacting multiple model–unscented Kalman filter (IMM-UKF) algorithm. By dividing the IMM-UKF into two links, the algorithm introduces the cubature principle to approximate the probability density of the random variabl...
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For maneuvering target tracking problem, interacting multiple model (IMM) algorithm performs better than single model algorithm, however, it also has some shortcomings. This study is devoted to propose a high accurate IMM algorithm. An improved IMM algorithm, named Switched IMM(S-IMM), is proposed. The S-IMM algorithm consists of two independent IMM filters with different model sets, CV(constan...
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—This paper presents Current statistical model based Adaptive Unscented Kalman Filter (CAUKF) for maneuvering target tracking, which is based on Received Signal Strength Indication (RSSI). In order to introduce the Kalman filter, the state-space model, which uses RSSI values as the measurement equation, needs to be obtained. Thus a current statistical model for maneuvering target based on the ...
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Ministerial Key Laboratory of JGMT, Nanjing University of Science and Technology, Nanjing 210094, China; [email protected] * Correspondence: [email protected]; Tel.: +86-150-5184-1745 Abstract: For improving the tracking accuracy and model switching speed of maneuvering target tracking in nonlinear systems, a new algorithm named interacting multiple model fifth-degree spherical simplex-radial ...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2017
ISSN: 2076-3417
DOI: 10.3390/app7101003