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为解决使用正规变换方法解耦高维耦合运动模型进行机动目标跟踪造成各坐标轴估计结果相互影响的问题,提出了一种改进的解耦方法.首先给出了基于卡尔曼滤波预测量的3维无偏量测补偿系数和转换量测方差表达式.然后在正规变换的基础上,详细给出了构造修正加权矩阵的改进解耦方法.最后结合交互式多模型算法进行了仿真实验,结果表明该方法能够在减少计算量的同时,消除各坐标轴向估计结果之间的相互影响,有利于交互式多模型算法的分析和使用.
In order to solve the problem that each coordinate axis estimation result interacts with the maneuvering target tracking by using the normal transformation method to decouple the high-dimensional coupled motion model, an improved decoupling method is proposed.Firstly, based on the prediction of Kalman filter, Dimensional unbiased compensation coefficient and transformation measurement variance expression.And then based on the formal transformation, an improved decoupling method of constructing a modified weighting matrix is given in detail.Finally, an interactive multi-model algorithm is used to simulate the experiment and the result The results show that this method can reduce the computational complexity and eliminate the mutual influence between the results of axial coordinate estimation, which is benefit to the analysis and use of the interactive multi-model algorithm.