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