Adaptive algorithm for estimating the position of a passive object in a picking shelf

This paper presents an algorithm to estimate the position of an object in an industrial picking shelf based on low frequency magnetic fields. The proposed algorithm was designed as an improvement to the one used by the IndLoc system which has been developed at Fraunhofer Institute for Integrated Circuits. It reduces the calculation time by extracting a subtable, a portion, from a simulated look-up table during each iteration. The algorithm is tested on the IndLoc system which consists of one AC current loop, 16 receiving coils and a passive localization object that comprises three orthogonal coils. Additionally, time measurements are carried out using different subtable sizes and compared with using only one high-resolution look-up table.