Title :
Adaptive leading edge detection for WSN localisation inside industrial processes
Author :
Antoniou, M. ; Green, P.N.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
Abstract :
Research presented in this paper considers the development of a Wireless Sensor Network (WSN) positioning technique that uses Time Difference of Arrival (TDoA) to locate sensors transmitting Ultra Wideband (UWB) pulses. Two localisation algorithms have been examined with their accuracy depending on detection of the leading edges (LEs) of received pulses. A prototype algorithm shown major weaknesses in detecting LEs and was quite inaccurate. This paper proposes a novel adaptive LE method that improves localisation accuracy almost twice as opposed to the prototype method.
Keywords :
edge detection; wireless sensor networks; TDoA; WSN localisation; adaptive LE method; adaptive leading edge detection; industrial processes; ultra wideband pulses; wireless sensor network positioning technique; LE; TDoA; UWB; WSN; multilateration;
Conference_Titel :
Wireless Sensor Systems (WSS 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-625-3
DOI :
10.1049/cp.2012.0581