Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Range-Based Localization for UWB Sensor Networks in Realistic Environments | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 476598 9 pages doi 2010 476598 Research Article Range-Based Localization for UWB Sensor Networks in Realistic Environments Guowei Shen Rudolf Zetik Ole Hirsch and Reiner S. Thoma Department of Electrical Engineering and Information Technology Ilmenau University of Technology 98693 Ilmenau Germany Correspondence should be addressed to Guowei Shen Received 6 April 2009 Accepted 1 September 2009 Academic Editor Xinbing Wang Copyright 2010 Guowei Shen et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The Non-Line of Sight NLOS problem is the major drawback for accurate localization within Ultra-Wideband UWB sensor networks. In this article a comprehensive overview of the existing methods for localization in distributed UWB sensor networks under NLOS conditions is given and a new method is proposed. This method handles the NLOS problem by an NLOS node identification and mitigation approach through hypothesis test. It determines the NLOS nodes by comparing the mean square error of the range estimates with the variance of the estimated LOS ranges and handles the situation where less than three Line of Sight LOS nodes are available by using the statistics of an arrangement of circular traces. The performance of the proposed method has been compared with some other methods by means of computer simulation in a 2D area. 1. Introduction Localization in distributed Ultra-Wideband UWB sensor networks is an important area that attracts significant research interest. It is required in many sensor network applications such as indoor navigation and surveillance detection and tracking of persons or objects and so on 1-4 . The range-based time of arrival TOA approach is the .
