%0 Journal Article
%T Gyro drift prediction based on reduced parameter second-order Volterra series<br>基于少参数二阶Volterra级数的陀螺漂移预测
%A HU You-tao
%A HU Chang-hu
%A KONG Xiang-yu
%A HUANG Jin-feng
%A <br>胡友涛
%A 胡昌华
%A 孔祥玉
%A 黄金峰
%J 计算机应用研究
%D 2012
%I 
%X For forecasting the nonlinear time series of gyro's drift angle rate, this paper presented an affine projection AP adaptive identification algorithm based on reduced parameter second-order RPSO Volterra series, established a prediction model based on RPSO Volterra series. It deduced two similar iterative formulas for the prediction model's two parameter vectors, because that their position could be interchanged. It presented the whole steps of the proposed algorithm. It used the real gyro drift data to validate the proposed algorithm, gained the accurate prediction immediately.
%K nonlinear system
%K Volterra series
%K affine projection（AP）
%K gyro drift prediction<br>非线性系统
%K Volterra级数
%K 仿射投影
%K 陀螺漂移预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B531511FA18468B44F9&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=9A3CDBCD23D3B603&eid=9A36B19C3CC315B7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10