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一种基于BP神经网络的机动目标跟踪算法

刘国栋

舰船电子工程2012,Vol.32Issue(7):45-47,3.
舰船电子工程2012,Vol.32Issue(7):45-47,3.

一种基于BP神经网络的机动目标跟踪算法

A Maneuvering Target-Tracking Algorithm Based on the BP Neural Network

刘国栋1

作者信息

  • 1. 海军驻上海地区舰炮系统军事代表室,上海200135
  • 折叠

摘要

Abstract

The IMM algorithm is a kind of filter that can track the target effectively. Aiming at the problem that it will under the track- ing precision and transfer probability thumb, this paper proposed a method that using BP Neural Network to amend the submodel filtering re- suit. Simulation shows that this method can improve the convergency velocity and convergency precision, which has some theory significance.

关键词

机动目标/目标跟踪/交互式多模型/BP神经网络

Key words

maneuvering target/target tracking/interactive muhiple models/BP Neural Network

分类

信息技术与安全科学

引用本文复制引用

刘国栋..一种基于BP神经网络的机动目标跟踪算法[J].舰船电子工程,2012,32(7):45-47,3.

舰船电子工程

1627-9730

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