The Applacation Of UAV In The Armed Police Forces Disposition Of Large-scale Mass Incidents

Unmanned aerial vehicle(UAV), which has wide application in military and civil,be used to both counter-terrorism and large-scale mass incident and so on. It is apopular area for a long time in experts and scholars all over the world. The technologyof multi-sensor information fusion is an extremely important part of the UAV system. Itis mainly responsible for automatic acquisition, integration, filtration and fusion of thetarget data to get the correct conclusions for commanders reference.In an application situation of the large-scale mass incidents in the armed policeforces, according to advantages and disadvantages of the centralized and distributeddata fusion algorithm, this paper improves the linear transformation distributed Kalmanfilter data fusion algorithm based on the Kalman filter state estimation of multi-sensordata fusion as the research focus. Firstly we take a weighted average of the same kindsensor date, then get distributed fusion by the linear transform, finally realize dataintegration effectively. This method not only can overcome the shortcomings of highcomputational complexity of the centralized data fusion, but also can improve theprecision of data fusion and reduce the number of the sensors.According to the application of the UAV in the armed police forces, this papertracks the UAV’s fight, using adaptive extended Kalman filtering and the simulationand implementation of the target maneuvering detection are also realized.A lot of research and simulation results show that the use of proposed data fusionalgorithm in unmanned plane and the track to the unmanned plane of adaptive extendedKalman filtering can be better to meet the armed police force on duty, and maintenanceof stability and counter-terrorism needs. The results are of guiding significance for thefollowing UAV research.