论文部分内容阅读
基于滤波量比预测量和测量量都准确这一原理 ,该文提出一种适用于只测角无源定位的非线性滤波算法———协方差矩阵旋转变换的推广Kalman滤波算法 .文中推导了协方差矩阵变换的原理 ,给出了二维只测角无源定位应用的协方差矩阵旋转变换公式 .仿真表明该算法比同类型的基于微分线性化和泛线性化的Kalman滤波算法具有更好的性能 .
Based on the principle that the amount of filtering is more accurate than the amount of pre-measurement and the amount of measurement, this paper proposes an extended Kalman filter algorithm which is suitable for the rotation-only transformation of covariance matrix, The covariance matrix rotation transformation formula for the application of two-dimensional passive observer is given. The simulation shows that the proposed algorithm is better than the Kalman filtering algorithm based on differential linearization and linearization Performance.