%0 Journal Article %T A New FIR Filter for State Estimation and Its Application
A new FIR filter for state estimation and its application %A Pyung-Soo Kim %A Myung-Eui Lee %A
Pyung-Soo %A Kim %A and %A Myung-Eui %A Lee %J 计算机科学技术学报 %D 2007 %I %X This paper proposes a new FIR(finite impulse response)filter under a least squares criterion using a forgetting factor.The proposed FIR filter does not require information of the noise covariances as well as the initial state,and has some inherent properties such as time-invariance,unbiasedness and deadbeat.The proposed FIR filter is represented in a batch form and then a recursive form as an alternative form.From discussions about the choice of a forgetting factor and a window length,it is shown that they can be considered as useful parameters to make the estimation performance of the proposed FIR filter as good as possible.It is shown that the proposed FIR filter can outperform the existing FIR filter with incorrect noise covariances via computer simulations.Finally,as a useful application,an image sequence stabilization problem is considered.Through this application,the FIR filtering based approach is shown to be superior to the Kalman filtering based approach. %K state estimation %K FIR(finite impulse response)filter %K Kalman filter %K least squares %K forgetting factor
状态估计 %K 有限脉冲响应 %K Kalman滤波器 %K 最小平方 %K 遗忘因子 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=CBCDFFE5AEBDB1BF4D4BFD0F230FB6F5&yid=A732AF04DDA03BB3&vid=BC12EA701C895178&iid=94C357A881DFC066&sid=EEAFC972BAD75B1F&eid=141C24EC1980F602&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=13