A Frequency Modulation Fingerprint-Based Positioning Algorithm for Indoor Mobile Localization of Photoelectric Modules

Optoelectronic modules have a wide range of applications in the field wireless communication. However, function mobile localization has not been realized optoelectronic modules. In this paper, an indoor positioning algorithm, which was based on frequency modulation (FM) signals, Firstly, FM monitoring receiver DB4004 used to collect signals; Secondly, signals were preprocessed and analyzed build dataset. Finally, weighted centroid k-nearest neighbors (WC-KNN) precise algorithm proposed obtain position information photoelectric module. Experimental results showed that median location error WC-KNN can reach 0.8 m additional hardware equipment required. The research provided feasibility for practical application devices various fields.