指挥控制与仿真2011，Vol.33Issue(3)：46-49,4.DOI:10.3969/j.issn.1673-3819.2011.03.012
一种"当前统计"模型的模糊自适应算法
A Fuzzy Adaptive Algorithm Based on Current Statistic Model
杨艳成 1张丽珂 1郭永亮1
作者信息
- 1. 哈尔滨工程大学,黑龙江哈尔滨150001
- 折叠
摘要
Abstract
As an advanced Time related model “Current Statistic” model has a very good result on tracking maneuvering target, but when the maneuvering is low, the result of this model is bad. The main reason for the result is that the max acceleration is permanent, so the process noise can't be adjusted following the acceleration, so when the maneuvering is low the result is not very good. To overcome this defect this article gives a new approach which adjust the max acceleration which adopt the fuzzy adaptive method. And the computer simulation result shows that the new approach has a better result compare with the standard Current Statistic method.关键词
"当前"统计模型/系统噪声/卡尔曼滤波/模糊自适应/隶属度函数Key words
“current statistic” model/ process noise/ kalman filter/ fuzzy adaptive/ membership function分类
信息技术与安全科学引用本文复制引用
杨艳成,张丽珂,郭永亮..一种"当前统计"模型的模糊自适应算法[J].指挥控制与仿真,2011,33(3):46-49,4.
