Algorithm of Accurate Location of Buried Personnel in Special Environment after Earthquake
In view of the current shortcomings of the positioning accuracy of the buried people after the earthquake,the high cost of the detection equipment and the vulnerability to environmental impact,in this paper we propose a WiFi Positioning Method to search for the buried people's mobile phones,which is suitable for the characteristics of the signals from buried environment.The RSSI data obtained by the WiFi probe is calculated by the attenuation factor model.Combined with the simplified internal signal transmission mode of the buried environment,the obtained RSSI data is processed by Gauss Kalman filter.Through the distance measured by the model,using the improved weighted least square adjustment method with parameters,combined with particle swarm optimization al-gorithm,it is capab le to obtain the plane coordinate position of the buried personnel's mobile phone.The experimental results show that this method has high accuracy,with the average error of plane coordinate positioning about 0.3 m within the range of 10 m x 10 m,which can provide auxiliary decision-making for emergency rescue of buried personnel after earthquake.