Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/46852
標題: Adaptive AOA-Aided TOA Self-Positioning for Mobile Wireless Sensor Network
作者: Wen, C.Y.
溫志煜
Chan, F.K.
關鍵字: wireless sensor networks;fuzzy control;particle filter;adaptive;positioning;localization;location;algorithm
Project: Sensors
期刊/報告no:: Sensors, Volume 10, Issue 11, Page(s) 9742-9770.
摘要: 
Location-awareness is crucial and becoming increasingly important to many applications in wireless sensor networks. This paper presents a network-based positioning system and outlines recent work in which we have developed an efficient principled approach to localize a mobile sensor using time of arrival (TOA) and angle of arrival (AOA) information employing multiple seeds in the line-of-sight scenario. By receiving the periodic broadcasts from the seeds, the mobile target sensors can obtain adequate observations and localize themselves automatically. The proposed positioning scheme performs location estimation in three phases: (I) AOA-aided TOA measurement, (II) Geometrical positioning with particle filter, and (III) Adaptive fuzzy control. Based on the distance measurements and the initial position estimate, adaptive fuzzy control scheme is applied to solve the localization adjustment problem. The simulations show that the proposed approach provides adaptive flexibility and robust improvement in position estimation.
URI: http://hdl.handle.net/11455/46852
ISSN: 1424-8220
DOI: 10.3390/s101109742
Appears in Collections:通訊工程研究所

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