CAJ | 학술논문

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。
위해결사용정규변환방법해우고유우합운동모형진행궤동목표근종조성각좌표축고계결과상호영향적문제，제출료일충개진적해우방법。수선급출료기우잡이만려파예측량적3유무편량측보상계수화전환량측방차표체식。연후재정규변환적기출상，상세급출료구조수정가권구진적개진해우방법。최후결합교호식다모형산법진행료방진실험，결과표명해방법능구재감소계산량적동시，소제각좌표축향고계결과지간적상호영향，유리우교호식다모형산법적분석화사용。
In order to solve the problem of mutual influence among the estimations of each coordinate caused by the canonical transform used for decoupling high-dimensional coupled kinematic state models in maneuvering targets tracking applications, an improved decoupling method is presented. At first, explicit expressions for unbiased compensation coeffi-cients and unbiased covariance statistics based on Kalman filter predictions related to the 3D measurements are given. And then, based on the canonical transform, an improved decoupling method using the modified weighted matrix is presented in detail. At last, simulation experiments are conducted combining with the IMM (interacting multiple model) algorithm. Re-sults indicate that the proposed algorithm can reduce computational burden and eliminate influences among three Cartesian coordinates, which is good for analysis and application of IMM algorithm.