Abstract
Optoelectronic modules have a wide range of applications in the field of wireless communication. However, the function of mobile localization has not been realized in optoelectronic modules. In this paper, an indoor positioning algorithm, which was based on frequency modulation (FM) signals, was realized in optoelectronic modules. Firstly, FM monitoring receiver DB4004 was used to collect FM signals; Secondly, FM signals were preprocessed and analyzed to build a FM dataset. Finally, weighted centroid k-nearest neighbors (WC-KNN) precise positioning algorithm was proposed to obtain the position information of the photoelectric module. Experimental results showed that the median location error of the WC-KNN algorithm can reach 0.8 m and additional hardware equipment was not required. The research results provided the feasibility for the practical application of equipment based on optoelectronic devices in various fields.
Highlights
With the rapid development of optoelectronic technologies in recent years, various optoelectronic devices were widely used in indoor mobile robots [1], Internet of Things [2] and other industries
Because our frequency modulation (FM)-based positioning was two-dimensional positioning, the height of the FM antenna remained a constant in all measurements
An improved weighted centroid k-nearest neighbors (WC-K nearest neighbor method (KNN)) algorithm based on FM signals was proposed as a positioning algorithm
Summary
With the rapid development of optoelectronic technologies in recent years, various optoelectronic devices were widely used in indoor mobile robots [1], Internet of Things [2] and other industries. A fingerprint location algorithm WC-KNN based on FM signals was proposed to solve the indoor location of photoelectric modules. The positioning area is discretized, the received signal strength (RSS) information of each discrete point is collected.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
