Location estimation with data fusion for wireless location systems

Chin Der Wann*, Ming Hui Lin

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

9 引文 斯高帕斯(Scopus)

摘要

Wireless location in wireless communications networks has been studied extensively in recent years. Among the network-based approaches, time of arrival (TOA) and time difference of arrival (TDOA) are two time-based techniques used in location estimation. It is known that the accuracy of location estimation may suffer from poor geometric dilution of precision (GDOP) situation and non-line of sight (NLOS) propagation effect. To provide more accurate measures for time-based location techniques under the effects of GDOP in wireless communications networks, a data fusion with fuzzy rules is presented. Based on the GDOP statistical properties of the raw location measures, the data fusion integrates data obtained from the TOA and TDOA techniques. Simulation results show that the proposed fuzzy logic-based data fusion effectively improves the overall accuracy of location estimation in wireless location systems.

原文英語
主出版物標題Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control
頁面327-332
頁數6
出版狀態已出版 - 2004
對外發佈
事件Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, 台灣
持續時間: 21 03 200423 03 2004

出版系列

名字Conference Proceeding - IEEE International Conference on Networking, Sensing and Control
1

Conference

ConferenceConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
國家/地區台灣
城市Taipei
期間21/03/0423/03/04

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