该论文提出了一种改进的扩展卡尔曼滤波方法，实现对红外，雷达传感器的信息融合跟踪算法。性能优于传统EKF-This paper presents an improved extended Kalman filter method, to achieve the infrared, radar sensor information fusion tracking algorithm. Better performance than traditional EKF

The extended Kalman filter (EKF) has been widely used as a nonlinear filtering method for radar tracking problems. However, it has been found that in case cross-range measurement errors of the target position are large, the performance of the

A new approach to improved filter design is presented for the radar tracking problem. An idealized version of the extended Kalman filter, which is unrealizable in practice, is constructed using a universal linearization concept, and then it i