Paper Title
Radio Interferometric Positioning with Modulated Signals in Wireless Sensor Networks

This paper presents an innovative radio interferometric positioning system for Wireless Sensor Networks (WSN), which we call Stochastic Radio Interferometric Positioning System with Modulated Signals (SRIPS_MS). To our best knowledge, we are the first to utilize modulated signals for radio interferometric positioning and demonstrate its viability in theory. Although previous radio interferometric positioning methods provide centimeter accuracy, they are still not widely adopted due to (1) the vulnerability to noise that prevents them from being used for indoor applications (2) the relatively long localization time. SRIPS_MS overcomes these practical limitations by using modulated signals. Through mathematical models and simulations, it’s shown that our method can position with better accuracy in noisy environment, compared with other radio interferometric positioning methods. Meanwhile the total time needed for targeting an object is reduced. Furthermore, we show a novel potential application of SRIPS_MS - a global wireless positioning platform operating on IEEE 802.15.4 and IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN). 6LoWPAN enables seamless connections between sensor networks and the Internet with Internet Protocols. Our results advance the state-of-the-art in both outdoor and indoor RF localization. Keywords - radio interferometric positioning system; wireless sensor networks; modulated signal; accuracy; localization time; IEEE 802.15.4; 6LoWPAN