Enhanced ALOHA algorithm for chirp spread spectrum positioning

Abstract

Location is a key context in the location-based services (LBS) which have been well studied in the domain of pervasive computing. The radio frequency (RF) based positioning plays important role in the LBS applications due to the good resolution, clear identification and low cost. However, the signal collision is a very critical issue which determines the system accuracy and throughput, especially in high-accuracy positioning such as UWB (Ultra Wide Band) and CSS (Chirp Spread Spectrum). CSS is an emerging technology which can offer highly-accurate positioning with TOA (Time-Of-Arrival) based manner similar with UWB, but is cheaper than UWB. This paper proposes a novel ALOHA-based algorithm for the signal anti-collision in CSS based positioning, which can guarantee the high throughput. Experimental results show the algorithm can maintain competitive throughput with the guaranteed accuracy in comparison with the known algorithms. © 2013 Springer-Verlag.