Receding Horizon Unbiased FIR Filters and Their Application to Sea Target Tracking
Author
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Finite impulse response (FIR) state estimation algorithms have been much discussed in literature lately.
It is well known that they allow overcoming the Kalman filter divergence caused by modeling uncertainties.
In this paper, new receding horizon unbiased FIR filters ignoring noise statistics for time-varying discrete state-space models are proposed.
They have the following advantages.
First, the proposed filters use only known means of state vector components at starting points of sliding windows.
This allows us to take into account priory statistical information (on average) about specified movements of the system.
Second, the iterative version of the filter has a Kalman-like form.
Besides, its initialization does not include a training cycle in a batch form.
Such filters may have a wide range of applications.
In this paper, position and speed estimation of sea targets using angle measurements in azimuth and elevation is considered as an example.
American Psychological Association (APA)
Skorohod, Boris. 2018. Receding Horizon Unbiased FIR Filters and Their Application to Sea Target Tracking. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1182885
Modern Language Association (MLA)
Skorohod, Boris. Receding Horizon Unbiased FIR Filters and Their Application to Sea Target Tracking. Journal of Control Science and Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1182885
American Medical Association (AMA)
Skorohod, Boris. Receding Horizon Unbiased FIR Filters and Their Application to Sea Target Tracking. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1182885
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182885