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Previously the Gauss Newton method has been used to estimate the geo-location of an object from angle of arrival (AoA) measurements. This method has assumed, however, that all measurements were independent and identically distributed. Real sensor data, however, often has temporal correlations between measurements. If a detailed understanding of the measurement correlation exists, this correlation...
When observing an object of interest (herein simply called “object”), determining the geo-location of the object as accurately as possible, together with an accurate estimate of the geo-location uncertainty, is a key step in many remote sensing applications. To compute the geo-location of an object, Angle of Arrival (AoA) measurements can be used from multiple different sensor platforms such as aerostats,...
This paper addresses the problem of object localization using only angle-of-arrival (AoA) data from satellites. Traditionally, this is performed by a triangulation algorithm (TA) that minimizes the distances between the estimated object location to all lines-of-sight representing measurements of the object. However, when observing objects from satellites, the differences in distance from each satellite...
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