|本期目录/Table of Contents|

[1]刘 千,王 堃.基于BP神经网络的防空目标识别方法[J].工业仪表与自动化装置,2015,(02):94-98.
　LIU Qian,WANG Kun.The research of the air defense target recognition based on BP neural network[J].Industrial Instrumentation & Automation,2015,(02):94-98.
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基于BP神经网络的防空目标识别方法(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2015年02期
页码:
94-98
栏目:
出版日期:
2015-04-15

文章信息/Info

Title:
The research of the air defense target recognition based on BP neural network
文章编号:
1000-0682(2015)02-0000-24
作者:
刘 千; 王 堃
（海装驻西安地区军事代表局，西安 710065）
Author(s):
LIU Qian;  WANG Kun
(Haizhuang Military Representative Office in Xi’an, Xi’an 710065,China)
关键词:
防空目标; 目标识别技术; BP神经网络
Keywords:
the air target;  target identification;  the BP neural network
分类号:
TP183
DOI:
-
文献标志码:
A
摘要:
防空目标识别是指利用雷达或其他传感器设备获取空中目标的特征信息，并利用已掌握的各种目标先验知识来识别未知目标的类别属性。该文在提取高分辨雷达目标回波信号特征的基础之上，建立了基于BP神经网络的防空目标识别模型，并利用经归一化处理的数据样本对所建立的BP神经网络进行了训练及误差分析，得到稳定的权值和阈值。仿真计算结果表明，当学习样本足够多时, 利用神经网络的记忆、联想、容错功能，所构建的模型能够有效保证识别的正确性并克服由于传感器误判导致的目标识别错误，使识别过程更稳定可靠，识别结果更准确。
Abstract:
The air defense target recognition refers to the use of shipboard radar or other sensor devices to obtain the characteristics of the air target, and utilize a variety of prior knowledge to identify the unknown objects’ categories and other attributes. This article based on the kinematics of the characteristic information in the extraction of shipboard radar target echo signal, and built the air defense target recognition model based on the BP neural network technology. The normalization data sample was used to train the the BP neural network and make the error-analyzed , and obtained the stable weight and threshold. The simulation results indicated that when the number of the samples was enough, using the neural network’s memory, association and fault-tolerant ability, the model could guarantee the validity of recognition and overcome the mistake caused by the sensons’ erroneous judgement. And the model would also make the recognition process and result more reliable and accurate.

参考文献/References:

[1] 李翔.雷达目标识别系统的研究和设计[D].电子科技大学,2004.

[2] 杨瑞平,郭齐胜,赵宏绪.C3I系统建模与仿真[M].北京:国防工业出版社,2006.
[3] 张平定,王海军,王睿.一种基于聚类思想的目标识别新方法[J].空军工程大学学报:自然科学版,2006,7(2):29-30.
[4] 谭安胜.水面舰艇编队作战运筹分析[M].北京:国防工业出版社,2009:229-232.
[5] M Vespe, C J Baker, H D Griffiths. Radar target classification using multiple Perspectives[J]. IET Radar Sonar Navig.,2007,1(4):

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备注/Memo

备注/Memo:

收稿日期 ： 2014-09-01

作者简介 ：刘千 (1989) ，男，从事导弹配套产品军检验收和质量监督工作。

更新日期/Last Update: 1900-01-01