Adaptive leading edge detection for WSN localisation inside industrial processes

Empirical localisation method for wireless sensor nodes in confined industrial processes

“…Note that the use of UWB pulses in range estimation and in localisation has been proven to be quite accurate and robust to noise and to multipath and as such makes an excellent candidate for applications in industrial environments [1], [2], [7]- [10].…”

“…An experimental setup aimed at tests in grain silo has been developed and the results of thorough testing are discussed in [3]- [6] and in [10]. The experimental setup consisted of a single node, buried in a grain filled plastic vessel.…”

“…4, is that the experimental distance difference values deviate from the theoretical. The reasons for these deviations were thoroughly examined in [10] where it was revealed that deviations are mainly attributed to errors in measurements in deriving the distance difference data [10].…”

“…Find X and Z coordinates using the receiving antenna coordinates, X(i) and Z(i), corresponding to minimum value in D, X transmit =X(J(1)), Z transmit =Z(J(1)) 6. Use X transmit and Z transmit and the respective distance difference minima, in (6), to calculate the Y coordinates of the transmitting node The accuracy of the localisation method was examined using the same experimental setup (Fig.1) presented in [4]- [6] and in [10]. A transmitting node was placed at sixteen different positions (maximum depth at 1m) inside the testing vessel (positions measured manually) thus providing sixteen position estimates out of the empirical method.…”

Improved adaptive localisation approach for indoor positioning by using environmental thresholds with wireless sensor nodes

“…There are many localisation algorithms in literature. Some of the prominent algorithms are range-based [4], range-free [5], direction of arrival (DOA) [6], frequency difference of arrival [7] and time difference of arrival [8], algorithms. Unknown target locations are calculated by using additional techniques such as triangulation [9] and trilateration [10], together with time intervals [11] and RSSI values.…”