DocumentCode
518035
Title
Notice of Retraction
Architecture and performance for MEMS-IMU aided GNSS tracking loops based on Fuzzy model
Author
Huang Xun ; Gao Qi-xiao ; Chen Yong-bing ; Liu Ya-li
Author_Institution
Electr. & Inf. Eng. Coll., Naval Univ. of Eng., Wuhan, China
Volume
4
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Proposed a MEMS-IMU aided GNSS tracking loops within an ultra-tightly integration architecture based on a Fuzzy model. The IMU data provide LOS Doppler information to the GNSS tracking loops based Fuzzy logic controller. The performances of the model were simulated test and compared to the conventional tracking loops. The results show the proposed model could reduce carrier phase tracking loops bandwidth to 10Hz and improve the noise rejection .The improvement offer the ability of faster tracking of the carrier phase and robustness improvements to the GNSS receiver and integration of MEMS IMU/GNSS system.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Proposed a MEMS-IMU aided GNSS tracking loops within an ultra-tightly integration architecture based on a Fuzzy model. The IMU data provide LOS Doppler information to the GNSS tracking loops based Fuzzy logic controller. The performances of the model were simulated test and compared to the conventional tracking loops. The results show the proposed model could reduce carrier phase tracking loops bandwidth to 10Hz and improve the noise rejection .The improvement offer the ability of faster tracking of the carrier phase and robustness improvements to the GNSS receiver and integration of MEMS IMU/GNSS system.
Keywords
fuzzy systems; inertial navigation; micromechanical devices; satellite navigation; satellite tracking; Doppler information; IMU aided GNSS tracking loop; MEMS; fuzzy model; inertial measurement unit; Bandwidth; Fuzzy logic; Micromechanical devices; Noise reduction; Noise robustness; Performance evaluation; Phase noise; Satellite navigation systems; Testing; Tracking loops; GNSS; MEMS-IMU; fuzzy; tracking loop;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485486
Filename
5485486
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