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Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment

Authors :
G. H. Wang
L. Chen
Ilir F. Progri
Source :
Journal of Electrical and Computer Engineering, Vol 2014 (2014)
Publication Year :
2014
Publisher :
Hindawi Limited, 2014.

Abstract

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.

Details

ISSN :
20900155 and 20900147
Volume :
2014
Database :
OpenAIRE
Journal :
Journal of Electrical and Computer Engineering
Accession number :
edsair.doi.dedup.....77113b4b2d7a79f300b6d9353ef2e5b5