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- 详细讲解了卡尔曼滤波器及EKF,UKF,IMM等滤波器,有例子,有仿真-Explain in detail the Kalman filter and EKF, UKF, IMM and other filters, there are examples, a simulation
IMM
- 本文针对SMM中著名的交互式多模型(IMM)估计器,通过将IMM看作是输人交互和子滤波器申联,分析了具有m个参数的MTP矩阵,给出了六条不依赖于应用环境及子滤波器设计的结论-In this paper, SMM Interacting Multiple Model (IMM) estimator, analyzed by the IMM as input interaction and sub-filters Shenlian MTP matrix with m parameters, six
IMM_UKF
- 在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。-A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman f
IMM-track
- 在滤波估计方面,针对增益矩阵计算运算量大的问题,采用 并行滤波器,提出基于机动检测理论的算法。算法复杂度低,易 于工程实现,算法在复杂度上有很大的降低,但过程噪声对跟踪性能影 响较大。因此,引进机动检测策略,结合不同过程噪声下的算法,能有 效降低运算时间,提高跟踪精度。 -Adaptive template update strategy which can adjust the reference template based on the changes of the
doc
- 交互多模型,该算法在机动目标跟踪的效果仿真,理论清晰简洁,初学者必选论文-IMM for applicatin