FM and DTMB Signal Fingerprinting Positioning System Based on Multi-peak Gaussian Distribution Model

With the rapid development of wireless communication technology and the popularization of smart devices, all walks of life are constantly exploring location-based services in recent years. This paper proposes a combination of Frequency Modulation (FM) signal and Digital Television Terrestrial Multimedia Broadcasting (DTMB) signal to improve the indoor positioning accuracy of the new method for the disadvantages of partial positioning technology. The signal intensity of FM and DTMB is taken as the position fingerprint. The multi-peak Gaussian distribution model is used to fit the signal intensity, and then the probabilistic positioning matching algorithm is used to achieve high-precision positioning in the room. We verified the feasibility of the method through actual measurements in the indoor environment. Compared with the existing positioning technology, this method has the advantages of large coverage, high stability, low cost and high precision. The accuracy of the joint positioning of two signals is higher than that of the FM signal alone. It is verified that the positioning error of this system can reach 1.20 m when the multi-peak Gaussian distribution model is used. Compared with the single-peak Gaussian distribution model, the positioning accuracy is improved by about 0.80 m, which has certain reference significance in the field of indoor positioning.