IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method

With the widespread use of mobile devices equipped with various types of sensors, the need for location awareness in mobile environments is increasing. Many range-based approaches focus on localization accuracy but are vulnerable to ranging noises. In this paper, we propose a practical mechanism for a mobile object locating system. The mechanism applies the bootstrap particle filter and likelihood functions to the IEEE802.15.4a Chirp Spread Spectrum (CSS) ranging functionality. Based on the empirical characteristics of the prototype hardware, we developed an accurate and practical localization mechanism by using a CSS-specific adaptive likelihood distribution in real environments. The simulation and experiment results show that the proposed scheme outperforms previous techniques.