Research on adaptive filtering of colored noise and its application
Research on adaptive filtering of colored noise and its application
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有色噪声自适应滤波及其应用研究
DOI：
10.1109/icsmc.1996.571128
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发表时间：
1996
期刊：
影响因子：
--
通讯作者：
X. Changsheng
中科院分区：
文献类型：
--
作者：
Xiong Shenshu;Zhou Zhaoying;X. Changsheng
针对传统卡尔曼滤波方法的不足，提出了一种基于系统输出相关法的有色噪声自适应卡尔曼滤波方法，用于解决口腔X线头影测量图像的滤波问题。该方法采用等效量测方程建立色噪声的卡尔曼滤波模型，避免了计算复杂和滤波器维数的扩大。也不需要事先知道测量噪声的方差，使其更接近实际情况。实验结果证明了该方法的可行性和良好的性能。
In the view of the drawbacks of conventional Kalman filtering, a kind of adaptive Kalman filtering approach for colored noise based on the correlative method of the system output is proposed to solve the cephalometric images of stomatology. This approach builds a Kalman filtering model of colored noise by adopting the equivalent measurement equation in order to avoid complicated computation and the expansion of the dimension of the filter. It is also unnecessary to know the variance of measurement noise beforehand so that it is closer to the actual situation. Results of several experiments are presented to demonstrate the feasibility and good performance of this approach.