Research And Design Of ZigBee Location Algorithm Based On RSSI-LQI

With the rise of smart home,more and more people will turn to short-range wireless location network technology,especially Zig Bee positioning technology,in the future for a long period of time,more and more people will pay attention to the positioning real-time,positioning error and positioning methods.Research on Zig Bee positioning related issues,the development prospects of Zig Bee has far-reaching significanceThis article will be improved from the two stages of positioning:(1)In the distance measurement phase,firstly this paper introduces LQI,using LQI and RSSI to solve the distance.In the RSSI and LQI data processing,the paper uses Gaussian filtering method to solve a large deviation of the problem of the RSSI and LQI.On the basis of the more theoretical models used by scholars,the paper proposes the polynomial model,and this model solves the problem that the ideal model can not fit the real environment and reduces the ranging error.(2)In the positioning phase,this paper will use the maximum likelihood estimation method,however,there are some problems in the application of maximum likelihood estimation.Therefore,this paper uses the two maximum likelihood estimation method to locate,through simulation,proved that the second maximum likelihood estimation method can improve the positioning accuracy.Through the improvement of ranging and positioning stage,the new Zig Bee positioning method proposed in this paper has the characteristics of low power consumption,low complexity and high precision.