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Kalman

于 2017-09-20 发布文件大小:1907KB

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针对影响目标跟踪性能的关键因素——机动目标模型及其状态转移方程，探讨了基于Singer统计模型的卡尔曼滤波算法实现。(Aiming at the key factor that affects the performance of target tracking maneuvering target model and its state transition equation, the Calman filtering algorithm based on Singer statistical model is discussed.)

文件列表：

Kalman\16245076karlman\05040051杨海涛\05040051杨海涛.doc
Kalman\16245076karlman\05040051杨海涛\imm.m
Kalman\16245076karlman\05040051杨海涛\para_determing.m
Kalman\16245076karlman\05040051杨海涛\singer.asv
Kalman\16245076karlman\05040051杨海涛\singer.m
Kalman\16245076karlman\05040051杨海涛\Untitled.m
Kalman\16245076karlman\05040051杨海涛\yht1.m
Kalman\16245076karlman\05040051杨海涛\yht2.m
Kalman\a-para.fig
Kalman\iteration.fig
Kalman\kalman.m
Kalman\kfilter.m
Kalman\sigmaa-para.fig
Kalman\singer.m
Kalman\Singer程序与结果\alpha.fig
Kalman\Singer程序与结果\sigmaa.fig
Kalman\Singer程序与结果\singer.m
Kalman\Singer程序与结果\T.fig
Kalman\Singer程序与结果\一次滤波.fig
Kalman\Singer程序与结果\均值误差.fig
Kalman\Singer程序与结果\标准差.fig
Kalman\Singer程序与结果\滤波次数.fig
Kalman\Singer程序与结果\目标、观测、滤波结果.fig
Kalman\Singer程序与结果\运动曲线.fig
Kalman\Singer程序与结果.zip
Kalman\T-para.fig
Kalman\16245076karlman\05040051杨海涛
Kalman\16245076karlman
Kalman\Singer程序与结果
Kalman

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