CSI indoor positioning method based on soft partition of subspaces

Abstract

Based on the channel status information, the positioning system of the fingerprint indoor positioning system has a certain increase in the accuracy of the indoor positioning of the Wi-Fi, but there is still the problem of data redundancy and complex resolution. We proposed a CSI indoor positioning method based on fuzzy and fuzzy degradation molecular space: first, the whole location space is divided into a certain intersecting subspace, and then based on the status of the realtime CSI sample, the weight of the fingerprint matching algorithm is set, and the fingerprint matching and positioning are completed in the subspace. Experimental results show that our method is superior to the traditional CSI localization method in positioning efficiency.