%0 Journal Article
%T Simulation-based optimal design of α-β-γ-δ filter<br>Simulation-based Optimal Design of α-β-γ-δ Filter
%A Chun-Mu Wu
%A Paul P Lin
%A Zhen-Yu Han
%A Shu-Rong Li
%A <br>Chun-Mu Wu
%A Paul P. Lin
%A Zhen-Yu Han
%A Shu-Rong Li
%J 国际自动化与计算杂志
%D 2010
%I 
%X The existing third-order tracker known as α-β-γ filter has been used for target tracking and predicting for years. The filter can track the target’s position and velocity, but not the acceleration. To extend its capability, a new fourth-order target tracker called α-β-γ-δ filter is proposed. The main objective of this study was to find the optimal set of filter parameters that leads to minimum position tracking errors. The tracking errors between using the α-β-γ filter and the α-β-γ-δ filter are compared. As a result, the new filter exhibits significant improvement in position tracking accuracy over the existing third-order filter, but at the expense of computational time in search of the optimal filter. To reduce the computational time, a simulation-based optimization technique via Taguchi method is introduced.
%K Filter design
%K simulation-based optimization
%K Taguchi methods
%K position tracking
%K velocity tracking
%K acceleration tracking<br>滤波器
%K 优化设计
%K 仿真
%K 目标跟踪
%K 位置跟踪
%K 跟踪误差
%K 计算时间
%K 过滤器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7139AD613512F4F05F6D525B914296AA&aid=95671F73AD9169315C6D2D3CCC804ED7&yid=140ECF96957D60B2&vid=DF92D298D3FF1E6E&iid=0B39A22176CE99FB&sid=002786F01A86D891&eid=82722E2B785EBF0D&journal_id=1476-8186&journal_name=国际自动化与计算杂志&referenced_num=0&reference_num=13