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Showing papers by "J.M. Villadangos published in 2008"


Proceedings ArticleDOI
03 Oct 2008
TL;DR: A new method is presented to estimate the optimal position of the test-points, necessary to calibrate an ultrasonic LPS, and the results from simulated and real data shows the improvement obtained when using in the calibration these optimal test- points instead of randomly selected ones.
Abstract: In local positioning systems (LPS) active beacons are placed in the environment, so the accurate coordinates of these beacons are necessary for positioning algorithms. Such coordinates or positions can be obtained by means of hand-made measurements (a slow and less flexible method), or by using calibration algorithms (i.e., automatic determination of the beacon coordinates from pre-determined measurements). In this work a new method is presented to estimate the optimal position of the test-points, necessary to calibrate an ultrasonic LPS. The method has been developed for both, spherical and hyperbolic trilateration. The results from simulated and real data shows the improvement obtained when using in the calibration these optimal test-points instead of randomly selected ones.

7 citations


Proceedings ArticleDOI
12 May 2008
TL;DR: In this paper, a self-calibration method for local positioning systems is presented that allows the deduction of the position of a number of N beacons from measurements of distances between these beacons and different test points in the area of measurements.
Abstract: In local positioning systems (LPS) that use active beacons placed in the environment, the knowledge of the precise position of these beacons is supposed by the positioning algorithms. Previously the positions of the beacons have been directly measured or indirectly deduced and entered to the positioning system. In this work, a self-calibration method for LPS is presented that allows the deduction of the position of a number of N beacons from measurements of distances between these beacons and different test points in the area of measurements. Only the positions of three test points (in 3D positioning) have to be previously known, the rest (the number depending on the number of beacons) could be at any unknown position. The method has been developed for both spherical and hyperbolic positioning systems. In both cases simulated and real results have been presented.

4 citations