学术
摘 要:
高分辨雷达目标识别是当前高技术领域的一个研究重点，以一维高分辨距离像为原始信号，利用小波分析作为目标特征矢量提取的工具，对利用几种代价函数构成的特征向量的分类效果进行了详细的研究，提出了将小波变换、模糊神经网络和信息融合相结合的雷达目标识别方法，仿真结果表明，所提出的目标识别方法是一种有效的雷达目标识别方法。[著者文摘]
文章出处:
《火力与指挥控制》-2008年33卷2期,20 -13-15,20页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1002-0640（2008）02-0013-03
Study on Space Target Electromagnetic Signature Extracton and Recognition using Wavelet Transform
GUO Jun-feng,LI Yan-jun,ZHANG Ke （College of Astronautics, Northwentern Polytechnical University, Xi＇an 710072 ,China）
Abstract:
High resolution radar target recognition is one of important research subjects in the hightech field. Based on 1-D high resolution range profile, using wavelet transform as an effective tool for target signature extraction, this paper discusses classification effect constructed by the target signature vector using several cost functions in detail, proposes a target recognition method based on combination of the wavelet transform, fuzzy neural network and information fusion. Simulation shows the target recognition method is an effective method for radar target recognization.[著者文摘]
Key words:
wavelet transform, multi-resolution analysis, cost function, information fusion
基金资助:
国家自然科学基金资助项目（60575013）;航空支撑科技基金资助项目（05C53005）
更多>>免费文章
cqvip.com