机动目标跟踪中的序贯滤波

多个测量站（多雷达或多传感器）工作时,在时间上是不同步的．在融合之前必须将这些观测数据进行同步．在某雷达单独观测时,采用通常的卡尔曼滤波方法;在多雷达重叠观测区,采用序贯滤波方法,不管是哪个传感器观测,按时间顺序,先到的量测点先进行滤波,这样就省去了时间同步这一步处理,又增强了航迹的连续性．计算机仿真证明了该方法的有效性．

Sequential filter algorithm for maneuvering target tracking

Radar or multi-sensor is non-synchronous when they are tracking mobile target, hence the observation data must be synchronized before fusion. When a single radar is working it is referred as conventional Kalman filtering. In this case, at the overlapped observation area, the track which arrives firstly should be filtered according to time order without considering which radar is measuring. This method can save timesynchronization and enhance the continuity of the track. The effectiveness of the proposed method is verified by a series of simulations.