计算机应用研究2012，Vol.29Issue(10)：3722-3724,3.DOI:10.3969/j.issn.1001-3695.2012.10.030
基于少参数二阶Volterra级数的陀螺漂移预测
Gyro drift prediction based on reduced parameter second-order Volterra series
摘要
Abstract
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.关键词
非线性系统/Volterra级数/仿射投影/陀螺漂移预测Key words
nonlinear system/Volterra series/affine projection( AP)/gyro drift prediction分类
信息技术与安全科学引用本文复制引用
胡友涛,胡昌华,孔祥玉,黄金峰..基于少参数二阶Volterra级数的陀螺漂移预测[J].计算机应用研究,2012,29(10):3722-3724,3.基金项目
国家自然科学基金资助项目(61074072) （61074072）
