DocumentCode
526391
Title
Notice of Retraction
Optimality analysis of sensor-target geometries in 3-dimensional passive localization using two bearing-only sensors
Author
Yan Zhao ; Dongyun Yi ; Yongqiang Li ; Qian Zhang
Author_Institution
Sch. of Sci., Nat. Univ. of Defense Technol., Changsha, China
Volume
3
fYear
2010
fDate
9-11 July 2010
Firstpage
241
Lastpage
245
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.
In this paper, the relative sensor-target geometry for bearing-only localization in 3-dimensional space is characterized. Aiming to characterize and state explicit results in terms of the potential localization performance, the geometry in terms of the Cramer-Rao lower bound and the corresponding Fisher information matrix is studied. Specially, the formulation of the Fisher information matrix on the basis of the single sensor and its geometrical comprehension are derived, and the relationship of the geometrical characterizations to the Fisher information matrix, thus to the bearing-only localization with two sensors is explored and represented.
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.
In this paper, the relative sensor-target geometry for bearing-only localization in 3-dimensional space is characterized. Aiming to characterize and state explicit results in terms of the potential localization performance, the geometry in terms of the Cramer-Rao lower bound and the corresponding Fisher information matrix is studied. Specially, the formulation of the Fisher information matrix on the basis of the single sensor and its geometrical comprehension are derived, and the relationship of the geometrical characterizations to the Fisher information matrix, thus to the bearing-only localization with two sensors is explored and represented.
Keywords
direction-of-arrival estimation; matrix algebra; optimisation; sensors; 3D passive localization; Cramer-Rao lower bound; Fisher information matrix; bearing-only localization; bearing-only sensors; geometrical comprehension; optimality analysis; potential localization performance; relative sensor-target geometry; single sensor; Estimation; 3-Dimensional bearing-only localization; Cramer-Rao lower bound; Fisher information matrix; Sensor-target geometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563735
Filename
5563735
Link To Document