A Cloud Model Inference System Based Alpha-Beta Filter for Tracking of Maneuvering Target

被引：1

作者：

Huang Jianjun ^{[1
]}

Zhong Jiali ^{[1
]}

Li Pengfei ^{[2
]}

机构：

[1] Shenzhen Univ, ATR Key Lab, Shenzhen 518060, Peoples R China

[2] Air Def Forces Command Acad, Zhengzhou 450052, Peoples R China

来源：

2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010) | 2010年

关键词：

maneuvering target tracking; cloud mode inference; alpha-beta filter;

D O I：

10.1109/IITSI.2010.119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An adaptive alpha-beta filter based on cloud model inference is presented for maneuvering target tracking. The proposed tracker incorporates cloud model in a conventional alpha-beta filter by using the rule bank based on cloud model, which utilizes the residue error and the change of residue error in the last prediction to determine the values of alpha and beta, then track the maneuverable target accurately. The experiment results show that the algorithm is satisfactory and effective.

引用

页码：221 / 225

页数：5

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