Two Kinds of Sensor Data Fusion in Target Tracking

摘要

This paper describes an algorithm for fusion of tracks that created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensional and different sample rate. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm to data fusion will be discussed in this paper; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.