Perception of Microburst Based on Multi-Sensor Data Fusion

According to the wind field characteristics of microburst and the detecting principles of some mission sensors,a scheme for perception and hazard assessment of microburst based on multi-sensor data fusion is proposed.An analytical microburst model is given using extended Kalman filter method,an improved iteration algorithm is presented to fuse data and reduce the amount of computation for parameters estimation,and the hazard of microburst is assessed according to the analytical model.The algorithm is applied to the wind speed data from forward-looking infrared(FLIR) and laser radar (Lidar) to validate the scheme,and F factor is computed to measure hazard.