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IMM-Kalman-filter--simulation

于 2013-04-02 发布 文件大小:25KB
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  结合雷达跟踪的空中目标的实际情况,针对目标运动模型中的线性运动和非线性运动,分别设计了两种模型,并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。(Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state transition matrix IMM algorithm. Finally, the interacting multiple model Kalman filter algorithm Matlab simulation and results analysis.)

文件列表:

multiple model Kalman filter algorithm Matlab simulation
........................................................\IMM_test.asv,5020,2012-05-11
........................................................\IMM_test.m,4837,2012-05-15
........................................................\IMM_test.txt,5057,2012-05-10
........................................................\IMM_test1.asv,4155,2012-05-10
........................................................\IMM_test1.m,3522,2012-05-15
........................................................\IMM_test2.asv,3994,2012-05-10
........................................................\IMM_test2.m,3542,2012-05-15
........................................................\IMM_test3.asv,10654,2012-05-15
........................................................\IMM_test3.m,10583,2012-05-15
........................................................\kalman.m,550,2012-05-10
........................................................\liuhui.m,3963,2012-05-10
........................................................\produce_data.asv,1402,2012-05-10
........................................................\produce_data.m,1858,2012-05-14
........................................................\produce_data2.m,871,2012-05-10
........................................................\produce_data3.m,2408,2012-05-12
........................................................\produce_data4.m,1862,2012-05-11
........................................................\produce_data5.m,2328,2012-05-15
........................................................\produce_data6.m,2266,2012-05-14

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