標題: Neural fuzzy based indoor localization by kalman filtering with propagation channel Modeling
作者: Wu, Bing-Fei
Jen, Cheng-Lung
Chang, Kuei-Chung
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2007
摘要: In this study, an indoor localization based on the received signal strength indication (RSSI) in wireless sensor networks (WSN) is proposed. The presented approach proceeds in two phases: the first phase is based on the recorded received signal strength at the certain location. The interpolation, curve fitting and an adaptive neural fuzzy inference system (ANFIS) are used to develop the indoor propagation model, respectively. Thus the strength of the received radio signal can be converted to a physical distance approximately; in the second phase, based on the available distances from the positions localized in the test bed are estimated by using an extended Kalman filter (EKF). In comparison among the propagation models based on the interpolation, ANFIS and curve fitting, the experimental results show that the proposed approach provides a precise performance.
URI: http://hdl.handle.net/11536/11334
ISBN: 978-1-4244-0990-7
ISSN: 1062-922X
期刊: 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8
起始頁: 2383
結束頁: 2388
Appears in Collections:Conferences Paper