For large errors introduced by nonlinear state-space model in passive locating and tracking problems, various suboptimal recursive filtering algorithms are aralyzed and summarized, such as the extended Kalman filtering (EKF), the modified gain extended Ka
For large errors introduced by nonlinear state-space model in passive locating and tracking problems, various suboptimal recursive filtering algorithms are aralyzed and summarized, such as the extended Kalman filtering (EKF), the modified gain extended Ka
摘要针对被动定位跟踪中状态空间模型非线性程度较高所引发的滤波精度偏低的问题，分析和总结了已有的包括推广卡尔曼滤波(EKF)、修正增益的推广卡曼滤波(MGEKF)、二阶滤波、自适应推广卡尔受滤波(AEKF)等各种次优递推滤波算法的特点。