Error Compensation for Cricket Indoor Location System

Abstract

Event Abstract Back to Event Error Compensation for Cricket Indoor Location System Shuqiao Zhou1*, Haoran Feng1 and Ruixi Yuan1 1 Tsinghua University, Center for Intelligent and Networked Systems (CFINS), China Cricket is a fine-grained indoor location system utilizing beacons transmitting both ultrasound and radio wave signals. However, the system accuracy is greatly impacted by the relative angle and distance between the beacon and listener. This paper proposes a low cost method to improve the system precision by means of incremental error compensation. The ultrasonic detecting error, which directly affects the accuracy of time-difference-of-arrival (TDOA), is first analyzed and verified via experiments. Then an error compensation method is designed based on total least squares (TLS) to further improve the Cricket’s localization performance. Experimental results show that the average error of localization is reduced to 5.60cm with compensation, compared with 9.06cm of the original Cricket method. The standard deviation of the errors is reduced from 7.80cm to 3.99cm. This method lays a foundation for further improving the existing ultrasound-related distance measurement method. Conference: 2nd International Workshop on Sensor Networks and Ambient Intelligence In conjunction with PDCAT'09, Hiroshima, Japan, 8 Dec - 11 Dec, 2009. Presentation Type: Oral Presentation Topic: Oral presentations Citation: Zhou S, Feng H and Yuan R (2009). Error Compensation for Cricket Indoor Location System. Front. Neuroinform. Conference Abstract: 2nd International Workshop on Sensor Networks and Ambient Intelligence In conjunction with PDCAT'09. doi: 10.3389/conf.neuro.01.2009.16.109 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 23 Nov 2009; Published Online: 23 Nov 2009. * Correspondence: Shuqiao Zhou, Tsinghua University, Center for Intelligent and Networked Systems (CFINS), Beijing, China, zhousq05@mails.tsinghua.edu.cn Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Shuqiao Zhou Haoran Feng Ruixi Yuan Google Shuqiao Zhou Haoran Feng Ruixi Yuan Google Scholar Shuqiao Zhou Haoran Feng Ruixi Yuan PubMed Shuqiao Zhou Haoran Feng Ruixi Yuan Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.