A Method of Target Tracking and Prediction Based on Geomagnetic Sensor Technology

In view of the inherent defects in current airport surface surveillance system, this paper proposes an asynchronous target-perceiving-event driven surface target surveillance scheme based on the geomagnetic sensor technology. Furthermore, a surface target tracking and prediction algorithm based on I-IMM is given, which is improved on the basis of IMM algorithm in the following aspects: Weighted sum is performed on the mean of residual errors and model probabilistic likelihood function is reconstructed, thus increasing the identification of a true motion model; Fixed model transition probability is updated with model posterior information, thus accelerating model switching as well as increasing the identification of a model. In the period when a target is non-perceptible, prediction of target trajectories can be implemented through the target motion model identified with I-IMM algorithm. Simulation results indicate that I-IMM algorithm is more effective and advantageous in comparison with the standard IMM algorithm.