Channel state information based efficient database construction for indoor localisation

Abstract

The popularisation of fingerprinting localisation technology has been hindered because of two major hurdles: (i) the accuracy bottleneck caused by unreliable location fingerprints and (ii) the huge effort required to construct a fingerprints database (or radio map) for the targeted area. To tackle the two problems, the authors propose an effective solution in this work. First, they exploit channel state information, which is a parameter depicting the frequency response of each subchannel, to design the location fingerprint, striving to eliminate the interferences of the complex indoor environment. Second, they propose an efficient construction scheme leveraging the matrix completion theory to improve the calibration efficiency, and employ a Bayes rule-based fingerprint matching method to implement location estimation. Finally, they evaluate the authors’ localisation system in two typical scenarios, and the numerical results show that the proposal ensures superior performance while reducing the workload significantly.

Keywords

• fingerprint identification
• calibration
• indoor radio
• image matching
• Bayes methods
• or radio map
• targeted area
• effective solution
• channel state information
• frequency response
• location fingerprint
• complex indoor environment
• efficient construction scheme leveraging
• matrix completion theory
• calibration efficiency
• Bayes rule-based fingerprint matching method
• location estimation
• authors
• efficient database construction
• indoor localisation
• localisation technology
• accuracy bottleneck
• unreliable location fingerprints
• huge effort
• fingerprints database