RSS Based Indoor Localization with Limited Deployment Load
One major bottleneck in the practical implementation of Received Signal Strength (RSS) based indoor localization systems is the extensive deployment load required to construct radio maps through fingerprinting. Several papers aimed to employ radio propagation models as alternative to fingerprinting but the different sources of inaccuracies in the generation of these models result in high localization errors. In this paper, the authors propose an indoor localization scheme that can be directly deployed and employed without building a full radio map of the indoor environment. The proposed scheme employs the information from a radio propagation simulator and limited number of calibration measurements to perform direct localization using manifold alignment.