A Fuzzy Adaptive Algorithm Based on“Current”Statistical Model for Maneuvering Target Tracking

王向华; 覃征; 杨慧杰; 杨新宇

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A Fuzzy Adaptive Algorithm Based on“Current”Statistical Model for Maneuvering Target Tracking

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摘要

The basic"current"statistical model and adaptive Kalman filter algorithm can not track a weakly maneuvering target precisely,though it has good estimate accuracy for strongly maneuvering target.In order to solve this problem,a novel nonlinear fuzzy membership function was presented to adjust the upper and lower limit of target acceleration adaptively,and then the validity of the new algorithm for feeblish maneuvering target was proved in theory.At last,the computer simulation experiments indicated that the new algorithm has a great advantage over the basic"current"statistical model and adaptive algorithm.

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来源
《防务技术:英文版》 |2010年第3期|194-199|共6页
作者
王向华; 覃征; 杨慧杰; 杨新宇;
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作者单位

Department of Computer Science and Technology;

Tsinghua University;

Department of Computer Science and Technology;

Xi'an Jiaotong University;

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原文格式 PDF
正文语种 chi
中图分类自动控制、自动控制系统;
关键词
control theory; maneuvering target tracking; "current"statistical model; fuzzy control; simulation analyses;

A Fuzzy Adaptive Algorithm Based on“Current”Statistical Model for Maneuvering Target Tracking

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