Notice of RetractionOptimality analysis of sensor-target geometries in 3-dimensional passive localization using two bearing-only sensors

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.