Research On Indoor Positioning Method Based On RF Signal Strength

The influence of indoor positioning technology extends to various fields including military,science and technology,and people's ordinary life.Signal strength indoor positioning is a novel positioning method.This dissertation designs a more accurate positioning scheme based on the law of signal strength attenuation.The main work of the thesis is as follows:(1)The law of attenuation of signal intensity was studied.The cc1101 chip is used to verify the signal strength is affected by the outside shielding;the signal strength change function parameters are obtained through a large number of signal strength test data;the signal strength change function is measured by cc1101 chip distance measurement experiment,and the distance measurement of the chip is analyzed.(2)An improved compression-sensing positioning method is designed.Because of the complexity of the compressed sensing location method,the accuracy of locating a large number of targets is not high.For this reason,a simplified compression sensing algorithm is proposed in this paper,which can reduce the complexity while satisfying a large number of target positioning accuracy.(3)An improved trilateration method was designed.Because the cc1101 chip is affected by the closer shields,this paper proposes a trilateration method that eliminates invalid data,which overcomes the problem of degraded positioning accuracy caused by some positioning modules' interference due to occluders.(4)A set of positioning system was designed.The hardware and software of the positioning module and the target module are designed.Combining the compressed sensing algorithm with the trilateration method is used as the positioning algorithm.The platform is used to realize the positioning of the method.Experimental results show that the localization method combined with compressive sensing and trilateration method proposed in this paper has good localization accuracy,and overcomes the shortcomings of trilateration and compressive sensing algorithms,and has certain advantages.