CAJ | 학술논문

为了提高扩展新息滤波的精度，将体积积分方法和新息滤波相结合，提出了体积积分新息滤波算法。新算法采用三阶球半径体积规则和高斯‐拉盖尔积分规则选择积分点，估计新息滤波的新息状态和新息矩阵，不需要计算非线性函数的雅克比矩阵。实验结果表明，与扩展新息滤波和体积新息滤波相比，新算法提高了非线性系统的估计精度。
위료제고확전신식려파적정도，장체적적분방법화신식려파상결합，제출료체적적분신식려파산법。신산법채용삼계구반경체적규칙화고사‐랍개이적분규칙선택적분점，고계신식려파적신식상태화신식구진，불수요계산비선성함수적아극비구진。실험결과표명，여확전신식려파화체적신식려파상비，신산법제고료비선성계통적고계정도。
In order to improve the accuracy of the extended information filtering ,a new estimation algorithm called cubature quadrature information filtering (CQIF ) is proposed . T he new algo‐rithm embeds the cubature quadrature methods to information filtering .The third‐order spherical radial cubature and Gauss‐Laguerre quadrature rules are used to estimate the information state and information matrix .Meanwhile ,the new algorithm does not need to calculate the estimation of Jacobians matrix of nonlinear functions .T he experiments show that ,the accuracy of proposed algorithm is higher than extended information filtering and cubature information filtering .