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An optimal positioning algorithm based on polynomial fitting technique for non-line-of-sight (NLOS) environment is presented. First, NLOS errors in TOA measurements are mitigated using an orthogonal polynomial fitting technique. Then the standard deviation of LOS error is exploited to give an optimal location estimation of the mobile station (MS). Performance measure for location accuracy is calculated...
In this paper, we consider the problem of detecting and locating buried land mines and subsurface objects by using seismic waves. We demonstrate an adaptive seismic system that maneuvers an array of receivers, according to an optimal positioning algorithm based on the theory of optimal experiments, to minimize the number of distinct measurements to localize the mine. The adaptive localization algorithm...
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