Fuzzy Inference-Based Dynamic Determination of IMM Mode Transition Probability for Multi-Radar Tracking

摘要

A new method of determining IMM mode transition probability for multi-radar tracking in air traffic control is presented. In order to improve the accuracy of maneuvering target tracking under a multi-radar environment, dynamic determination of the IMM mode transition probability is studied. The aperiodic measurement inputs from asynchronous multi-radar are also taken into account. In addition to dynamic determination with aperiodic measurement inputs, fuzzy inference is used to adjust the mode transition probability from one mode to another. A simulation study shows that this method for dynamic determination of IMM mode transition probability gives better tracking performance than conventional methods in terms of position accuracy.