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