搜索资源列表
IMM
- 实现了IMM多模目标跟踪算法,目标机动且两次转弯,跟踪效果理想。- IMM realized multimode target tracking algorithm, target maneuvering and twice turn over tracking.
IMM
- 交互多模滤波器 利用马尔科夫链对多种测量模型分别进行卡尔曼滤波 并利用转移概率对滤波结果进行加权 适用于机动目标跟踪和低空多径噪声下的高度测量-IMM filter Markov chain model for a variety of measurements were Kalman filter and using the filtered result of the transition probability weighting applicable at low altitude ma
IMM_EKF
- 应用交互多模和扩展卡尔曼滤波器对机动目标进行跟踪-Application of IMM and extended Kalman filter to track moving targets
fiulang
- 包括轨道机动仿真、初轨计算,均值便宜跟踪的示例,能量谱分析计算。- Including orbital maneuvering simulation, initial orbit calculation, Example tracking mean cheap, Energy spectrum analysis and calculation.
kaerman
- 程序利用卡尔曼滤波器Kalman实现了对机动目标的跟踪-procedures for the use of a Kalman filter to achieve the right track moving targets
IMM
- 用多个不同的模型对同一目标的轨迹进行卡尔曼滤波,适用于对机动目标的跟踪。-Kalman filtering of the same target trajectory using a number of different models is applied to the tracking of maneuvering targets.
UKF
- 无迹卡尔曼滤波,适用于解决非线性机动目标的跟踪问题-Unscented Kalman filter, suitable for solving nonlinear maneuvering target tracking problem
IMMPF
- 交互式粒子滤波,用于解决不明确知道机动目标运动状态的目标跟踪问题-Interactive particle filtering for solving target tracking problems that do not explicitly know the state of motion of maneuvering targets
tuxiangchuli
- 机动目标图像处理的程序及图片,机动目标跟踪算法-机动目标图像处理的程序及图片 Maneuvering target image processing procedures and pictures
particle
- 利用C++语言,实现了粒子滤波算法,该算法可以用于机动目标的跟踪。(The particle filter algorithm is realized by using C++ language, and the algorithm can be used for maneuvering target tracking.)
jljbc
- 本程序是基于机动目标跟踪课题的整个算法程序,其中包括卡尔曼,扩展卡尔曼和粒子滤波程序及其仿真代码和仿真的图形,()
jerk
- 适用于强机动目标跟踪的Jerk模型仿真代码(Jerk model simulation code for strong maneuvering target tracking)
6090044Tracking(Imm)
- matlab做的基于交互多模(IMM)算法的机动目标跟踪仿真程序((Matlab done on interactive multi-mode (IMM) algorithm mobile target tracking simulation program))
92630405IMM-KF
- matlab做的基于交互多模IMM算法的机动目标跟踪仿真程序(Matlab done on interactive multi-mode algorithm mobile target tracking simulation program)
ab改进
- 针对传统α - β 滤波算法不够有效跟踪机动目标的问题, 详细分析了其内在原因, 提出一种改进的α - β 滤波算法。该算法不需要假定目标的机动模型, 而是将目标的机动加速度作为滤波状态直接估计出来, 将估计加速度作为输入控制量引入到传统α - β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α - β 滤波算法进行比较, 证明了新的算法不仅具有传统算法计算量小的优点, 而且还可以对机动目标进行实时跟踪。仿真结果表明, 新算法在综合性能上明显优于传统算法。(In view of th
IMM_f
- 采用交互多模型算法(IMM)对机动目标进行跟踪的实现(Interactive multiple model algorithm (IMM) is applied to track maneuvering target.)