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

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...

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Main Authors: Lei Chen, G. H. Wang, Ilir F. Progri
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2014/598463
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author Lei Chen
G. H. Wang
Ilir F. Progri
author_facet Lei Chen
G. H. Wang
Ilir F. Progri
author_sort Lei Chen
collection DOAJ
description 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.
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institution Kabale University
issn 2090-0147
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publishDate 2014-01-01
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series Journal of Electrical and Computer Engineering
spelling doaj-art-3417f2e143d44bfea584bfdf3f54b9e62025-02-03T00:59:02ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/598463598463Unified Registration Model for Both Stationary and Mobile 3D Radar AlignmentLei Chen0G. H. Wang1Ilir F. Progri2Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, ChinaNaval Aeronautical and Astronautical University, Yantai, Shandong 264001, ChinaGiftet Inc., 118 Heywood Street, No.3, Worcester, MA 01604, USAFor 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.http://dx.doi.org/10.1155/2014/598463
spellingShingle Lei Chen
G. H. Wang
Ilir F. Progri
Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
Journal of Electrical and Computer Engineering
title Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
title_full Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
title_fullStr Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
title_full_unstemmed Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
title_short Unified Registration Model for Both Stationary and Mobile 3D Radar Alignment
title_sort unified registration model for both stationary and mobile 3d radar alignment
url http://dx.doi.org/10.1155/2014/598463
work_keys_str_mv AT leichen unifiedregistrationmodelforbothstationaryandmobile3dradaralignment
AT ghwang unifiedregistrationmodelforbothstationaryandmobile3dradaralignment
AT ilirfprogri unifiedregistrationmodelforbothstationaryandmobile3dradaralignment