A Design on Adaptive Two-Step Filter Applied in Nonlinear System

摘要：

Two-step filter is a filter that defines a set of new state parameters. These state parameters are nonlinear functions reflecting real-time states of system. Then, applying Kalman filter to acquire best estimate value, we can calculate best answer by Gauss-Newton alternate arithmetic Not knowing real noise statistic values, we should combine variable noise statistic estimator with two-step filter. Applying this method is called adaptive nonlinear filter. Analyzing simulation results of adaptive twostep filter, it is concluded that performance of adaptive two-step filter exceeds one of other filters.

关键词： Adaptive Two-Step Filter Noise Statistic Values Simulation State Parameters

作者: Cao Jian Zhu Xiaoping

作者单位: Northwestern Polytechnical University, Shaanxi, Xian, 710072, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 929-931

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）