Title :
Location estimation with data fusion for wireless location systems
Author :
Wann, Chin-Der ; Lin, Ming-Hui
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
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.
Keywords :
direction-of-arrival estimation; fuzzy logic; fuzzy set theory; radio direction-finding; radio networks; sensor fusion; data fusion; fuzzy logic; fuzzy rules; geometric dilution of precision; location estimation; nonline of sight propagation effect; statistical properties; time based location techniques; time difference of arrival techniques; time of arrival techniques; wireless communications networks; wireless location systems; Base stations; Costs; Fuzzy logic; Fuzzy systems; Global Positioning System; Noise measurement; Telephone sets; Time difference of arrival; Time measurement; Wireless communication;
Conference_Titel :
Networking, Sensing and Control, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8193-9
DOI :
10.1109/ICNSC.2004.1297457
