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针对多个机动目标的联合跟踪与分类的问题,文章考虑两类空中目标:商业机和战斗机。采用模糊数据互联(FDA)来完成两个目标的跟踪;采用多模型粒子滤波来处理目标的多个运动模型问题;通过由跟踪器得到的速度量测来完成分类任务。仿真结果表明该方法能提供可靠的跟踪和正确的分类。
Aiming at the joint tracking and classification of multiple maneuvering targets, the article considers two types of air targets: commercial aircraft and fighter aircraft. Using the Fuzzy Data Interconnection (FDA) to accomplish the tracking of both targets; using multiple model particle filtering to deal with multiple motion model problems of the target; and performing classification tasks by velocity measurements from the trackers. Simulation results show that this method can provide reliable tracking and correct classification.