FM (Frequency Modulation) and DTMB (Digital Terrestrial Multimedia Broadcasting) signal fingerprint positioning system based on multimodal Gaussian distribution model

Abstract

The invention discloses an FM (Frequency Modulation) and DTMB (Digital Terrestrial Multimedia Broadcasting) signal fingerprint positioning system based on a multimodal Gaussian distribution model. The method comprises the steps of selecting sampling points according to an indoor environment, respectively selecting sampling frequencies of FM and DTMB signals as reference frequencies, recording intensity information of the signals on the reference frequencies of the sampling points, performing real fitting on the signal intensity by adopting a multi-peak Gaussian distribution model, and then realizing indoor high-precision positioning by utilizing a probabilistic positioning matching algorithm. According to the invention, FM and DTMB signals with stable signal strength are used as positioning signals, so that the method has the advantages of large coverage range, high stability, low cost, high precision and the like; according to the invention, the multi-peak Gaussian distribution model is adopted to carry out real fitting on the signal, and compared with single-peak Gaussian distribution fitting, the positioning precision is more accurate; the probabilistic matching positioning algorithm provided by the invention effectively estimates the position of the to-be-positioned point, and is simple and easy to implement and high in accuracy.

Description

technical field [0001] The invention relates to a method for using a multi-peak Gaussian distribution fitting model of FM and DTMB signal strength to perform position matching and realize indoor high-precision positioning. Background technique [0002] With the development of positioning and navigation technology, positioning technology based on GPS, Beidou and other systems has been able to achieve high-precision positioning in outdoor environments and meet people's location service needs. However, in indoor complex and changeable scenarios, it is difficult for the receiver to obtain accurate satellite signals, coupled with the influence of non-line-of-sight errors, it is difficult to achieve ideal positioning results only by relying on satellites for positioning. Compared with outdoor positioning, indoor positioning has more complex and changeable environmental conditions, and requires much higher accuracy. [0003] At present, common indoor positioning technology methods...

AI Technical Summary

Problems solved by technology

Among them, Wi-Fi positioning technology is widely used, but in harsh environments, the positioning effect is not ideal

The Wi-Fi signal frequency is 2.4GHz, which is easily interfered by other signals of the same frequency, and is easily affected by the surrounding environment. The signal is time-varying and not stable enough, which has a great impact on the positioning accuracy of the system

On the other hand, every time positioning is required, Wi-Fi must be turned on and connected to the Internet, which makes the positioning system more dependent on Wi-Fi signals, and wireless access points need to be densely deployed, which invisibly increases positioning cost

Therefore, the positioning technology is not yet fully mature, and there are still many problems to be solved

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