Huang, Baoqi; Yu, Changbin (Brad); Anderson, Brian
In real localization systems, noise from hardware and the environment makes it impossible for any algorithms to precisely localize objects, e.g. sensors and targets. Besides that, planar approximation is another source of error when dealing with localization over spherical surfaces, e.g. the surface of the earth, though it is neglected in many algorithms. This work deals with evaluating the error arising from planar approximation in localization problems over spherical surfaces. We characterize...[Show more]
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