系统工程与电子技术 数据，通过CKF设计重要性密度函数，使其更加接近系统状态后验概率密度。仿真表明CPF估计精度高于PF和扩展卡尔曼滤波(extended particle filter, EPF)，与无轨迹粒子滤波(unscented particle filter, UPF)相比，其精度相当，
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...网 的针对GPS定位解算方法有最小二乘迭代估计（Iterative Least Square, ILS）和扩展卡尔曼滤波(Extended Kalman Filtering，EKF)，这两种算法均是通过伪 距的测量值来解算用户位置的三维坐标。
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...豆丁网 的针对GPS定位解算方法有最小二乘迭代估计（Iterative Least Square, ILS）和扩展卡尔曼滤波(Extended Kalman Filtering，EKF)，这两种算法均是通过伪 距的测量值来解算用户位置的三维坐标。
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根据UKF和扩展卡尔曼滤波(ekf)计算过程相似的特点，设计了SSUKF和EKF相结合的混合卡尔曼滤波算法。
According to the similar computation process of UKF and extended Kalman filter (EKF), the combined Kalman filter based on SSUKF and EKF was designed.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
设计扩展卡尔曼滤波器进行卫星编队轨道状态估计，数学仿真结果验证了这种导航方案和算法的有效性。
The orbit states estimation is achieved through the extended Kalman filters design. The simulation results verify the validity of this navigation method, and show preferable navigation accuracy.
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