Chinese translation for "cmkf"

测量卡尔曼滤波

Example Sentences:

	1.	The extended kalman filter ( ekf ) and converted measurement kalman filter ( cmkf ) have been widely used in radar target tracking 在非线性量测的情况下， ekf和cmkf得到了广泛的应用。
	2.	In order to improve the tracking precision at the beginning , an approach for estimate initial value of cmkf and decoupled cmkf algorithm are proposed 为了提高初始跟踪精度，提出了一种对cmkf以及解耦cmkf算法的滤波初值进行估计的方法。
	3.	In this article , converted measurement kalman filter ( cmkf ) is inferred in 3 - dimensional space . a target tracking application is simulated to compare the converted measurement kf and extended kalman filter ( ekf ) . the result is that cmkf has a higher accuracy than ekf 本文在三维空间中推导了转换坐标卡尔曼滤波算法，用此算法进行了雷达目标跟踪仿真，和用推广的卡尔曼滤波算法进行的仿真结果进行了比较，得出转换坐标卡尔曼滤波算法比推广的卡尔曼滤波算法精度高的结论
	4.	The last , taking into account of the nonlinear transformation from sphere frame to cartesian frame , maneuvering target tracking is simulated by using current statistical model and converted measurement kalman filter ( cmkf ) without linearization bias in the statistical condition . the paper presents the converted measurement covariance that determines when to use the current measurements vs . the predicted state , and the simulation results are satisfied 最后，针对球坐标系与直角坐标系之间的变换是非线性变换的特点，哈尔滨工程大学博士学位论文运用统计条件下不存在线性化误差的转换测量卡尔曼滤波算法，结合“当前”机动模型对机动目标进行了仿真研究。
	5.	Afterwards , the main subjects and research background of this essay are expatiated . aimed at target tracking under non - linear measurement , this paper extends two - dimension cmkf algorithms to three - dimension , uses canonical transform to obtain decoupled cmkf algorithm which makes the theoretical analysis for the algorithm easily 针对非线性观测下的目标跟踪问题，首先将二维cmkf跟踪算法推广到三维情况，然后基于正规变换技术提出了解耦的cmkf算法，得到了正规变换矩阵的解析表达式，可以方便地对算法进行理论分析。
	6.	However , the performance of these algorithms that are based on linear approximation degrades considerably in highly nonlinear situation . whereas the ekf requires the evaluation of the jacobian to obtain the observation matrix , the cmkf needs it to compute the measurement error covariance . both of them employ linear approximation , and thus linear error is inevitible 论文第四章分析了ekf和cmkf在某些情况下跟踪性能不理想的原因： ekf需要对量测方程进行线性近似， cmkf在计算转换测量值误差的均值和方差时同样要进行线性近似，因此无法避免线性化误差。
	7.	Given the condition of the fusion tracking under multiple sensors non - linear measurements , this paper applies the conclusion of the analysis of single sensor decoupled cmkf , tss filter and tss variance to the fusion tracking system . it also studies their application in basic measurement fusion and track fusion algorithm , and covariance recursive formula of track fusion is deduced . which offers a new way for steady - state performance evaluation of multi - radar fusion tracking 考虑多传感器非线性观测下的融合跟踪，论文将单传感器解耦cmkf 、 “暂稳态”滤波器以及“暂稳态”方差分析的结论推广应用到融合跟踪中，研究了其在基本的量测融合和航迹融合算法中的应用，推导了航迹融合中互协方差的递推公式和“暂稳态”公式，为多雷达融合跟踪的稳态性能估计提供了一种新途径。

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