Researching On Indoor Localization Based On Zigbee Wireless Sensor Network

Today,indoor positioning has become one of the key technologies,due to the influence by noise,multi-path reflection,temperature,non-line of sight and other environmental factors,greatly reducing the accuracy of indoor positioning.In order to solve the above problems,firstly,the distance measurement model based on the received signal strength is studied.The influence of different environment on the RF parameters and the signal attenuation parameters in the distance model is analyzed concretely.In the view of the problem of the model overly dependent on the environment,The RF parameters and the signal attenuation parameters are fitted by the linear regression method,which makes it possible to obtain the parameter values and make it more accuracy in line with the specific environment after fitting,which lays the foundation for precise distance measurement;Secondly,it is proposed to improve the centroid localization algorithm,the idea of the algorithm to replace the position of the calculation node to narrow the area to be measured,so as to improve the positioning accuracy,and design the beacon node strategy and calculate the weight of the node to be measured so that the node coordinates more accurate;Finally,Finally,it is proposed that a set of ZigBee wireless positioning system,and an improved mass center localization algorithm is proposed to validate this paper.Through the analysis of the position coordinates of the nodes to be measured in the experiment,it is concluded that the modified centroid localization algorithm improves the positioning accuracy and stability greatly compared with the traditional centroid localization algorithm.