Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
Joint Authors
Chen, Lei
Wang, G. H.
Progri, Ilir F.
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
For mobile radar, offset biases and attitude biases influence radar measurements simultaneously.
Attitude biases generated from the errors of the inertial navigation system (INS) of the platform can be converted into equivalent radar measurement errors by three analytical expressions (range, azimuth, and elevation, resp.).
These expressions are unique and embody the dependences between the offset and attitude biases.
The dependences indicate that all the attitude biases can be viewed as and merged into some kind of offset biases.
Based on this, a unified registration model (URM) is proposed which only contains radar “offset biases” in the form of system variables in the registration equations, where, in fact, the “offset biases” contain the influences of the attitude biases.
URM has the same form as the registration model of stationary radar network where no attitude biases exist.
URM can compensate radar offset and attitude biases simultaneously and has minor computation burden compared with other registration models for mobile radar network.
American Psychological Association (APA)
Chen, Lei& Wang, G. H.& Progri, Ilir F.. 2014. Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment. Journal of Electrical and Computer Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1040516
Modern Language Association (MLA)
Chen, Lei…[et al.]. Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment. Journal of Electrical and Computer Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1040516
American Medical Association (AMA)
Chen, Lei& Wang, G. H.& Progri, Ilir F.. Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment. Journal of Electrical and Computer Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1040516
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040516