A New State Estimation Method with Radar Measurement Missing
Joint Authors
Wang, Hongjian
Li, Cun
Wang, Ying
Li, Qing
Ban, Xicheng
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper describes a method that addresses the transient loss of observations in sea surface target state estimations.
A six degrees of freedom swing platform fixed with a MiniRadaScan is used to simulate the loss of observations.
The state transition model based on the historical observation data fit prediction is designed because the existing state estimation method can only use the system model prediction while the observation is missing.
An observation data sliding window width adaptive adjustment strategy is proposed that can improve the fitting accuracy of the state transition model.
To solve the problem where the weight value of the Gaussian components of the Gaussian mixture filter is not changed in the time update stage while the observation is missing, an adaptive adjustment strategy for the weight is proposed based on the Chapman-Kolmogorov equation, which can improve the estimation precision under the conditions of the missing observation.
The simulation test demonstrates the proposed accuracy and real-time performance of the proposed algorithm.
American Psychological Association (APA)
Wang, Hongjian& Li, Cun& Wang, Ying& Li, Qing& Ban, Xicheng. 2018. A New State Estimation Method with Radar Measurement Missing. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1134603
Modern Language Association (MLA)
Wang, Hongjian…[et al.]. A New State Estimation Method with Radar Measurement Missing. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1134603
American Medical Association (AMA)
Wang, Hongjian& Li, Cun& Wang, Ying& Li, Qing& Ban, Xicheng. A New State Estimation Method with Radar Measurement Missing. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1134603
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134603