Research on adaptive filtering of colored noise and its application
Xiong Shenshu, Zhou Zhaoying, XU Chang-sheng · 2002
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.