tailieunhanh - Báo cáo hóa học: " Differential radio map-based robust indoor localization"

Differential radio map-based robust indoor localization | Wang et al. EURASIP Journal on Wireless Communications and Networking 2011 2011 17 EURASIP Journal on . http content 2011 1 17 Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access Differential radio map-based robust indoor localization Jie Wang 1 Qinghua Gao1 Hongyu Wang1 Hongyang Chen2 and Minglu Jin1 Abstract While wireless local area network-based indoor localization is attractive the problems concerning how to capture the signal-propagating character in the complex dynamic environment and how to accommodate the receiver gain difference of different mobile devices are challenging. In this article we solve these problems by modeling them as common mode noise and develop a localization algorithm based on a novel differential radio map approach. We propose a differential operation to improve the performance of the radio map module where the location is estimated according to the difference of received signal strength RSS instead of RSS itself. The particle filter algorithm is adopted to realize the target localization and tracking task. Furthermore to calculate the particle weight at arbitrary locations we propose a local linearization technique to realize continuous interpolation of the radio map. The indoor experiment results demonstrate the effectiveness and robustness of our approach. Keywords Indoor localization differential radio map RSS particle filter Introduction Ubiquitous computing and communication have become popular with the development of wireless communication technology over the last decade. The need for location information to capture contexts and configure them into the computing and communication processes coupled with the unavailability of global positioning system GPS in indoor environment has triggered increased research interest in indoor localization. Recently numerous localization systems have been developed based on the received signal strength RSS of the wireless local area networks