A real-time tracking of moving object method based on Genetic Algorithm and Kalman filter was proposed. 提出了一种基于遗传算法和卡尔曼滤波的运动目标跟踪方法。
Simulation results show FDAF reduces the percentage of lost tracks in tracking a maneuvering target in presence of clutter. 仿真实验表明，杂波环境下对机动目标跟踪时，采用模糊数据互联滤波器降低了航迹丢失率。
