| 基于改进Wigner-Hough变换的多分量LFM信号特征提取 |
| |
| 引用本文： | 刘锋,孙大鹏,黄宇,陶然,王越.基于改进Wigner-Hough变换的多分量LFM信号特征提取[J].北京理工大学学报,2008,28(10):914-917. |
| |
| 作者姓名： | 刘锋 孙大鹏 黄宇 陶然 王越 |
| |
| 作者单位： | 北京理工大学,信息科学技术学院电子工程系,北京,100081;海军航空工程学院,电子信息工程系,山东,烟台,264001;海军航空工程学院,电子信息工程系,山东,烟台,264001;北京理工大学,信息科学技术学院电子工程系,北京,100081 |
| |
| 基金项目： | 国家自然科学基金，国家自然科学基金 |
| |
| 摘 要： | 为了解决Wigner-Hough变换对多分量线性调频(LFM)信号特征提取受噪声困扰的问题,提出采用数字图像处理中改进的Sobel算子对含噪声信号的WVD时频图进行边缘特征检测,利用Hough变换对信号特征进行提取.通过对WHT,SPWD-Hough变换以及改进WHT 3种方法进行计算机仿真比较结果表明,改进的WHT对多分量LFM信号的特征提取效果最好.
|
| 关 键 词： | Sobel算子 Wigner-Hough变换 多分量LFM信号 特征提取 |
| 收稿时间： | 2008/1/17 0:00:00 |
Multi-Component LFM Signal Feature Extraction Based onImproved Wigner-Hough Transform |
| |
| LIU Feng,SUN Da-peng,HUANG Yu,TAO Ran and WANG Yue.Multi-Component LFM Signal Feature Extraction Based onImproved Wigner-Hough Transform[J].Journal of Beijing Institute of Technology(Natural Science Edition),2008,28(10):914-917. |
| |
| Authors: | LIU Feng SUN Da-peng HUANG Yu TAO Ran and WANG Yue |
| |
| Institution: | Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Department of Electronic Information Engineering, Navy Army Engineering Institute, Yantai, Shandong 264001, China;Department of Electronic Information Engineering, Navy Army Engineering Institute, Yantai, Shandong 264001, China;Department of Electronic Information Engineering, Navy Army Engineering Institute, Yantai, Shandong 264001, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
| |
| Abstract: | Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises.Faced with this problem,the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution(WVD) figure of signals with noise,and then signal characteristics can be extracted well and truly under Hough transform.Through computer simulation of the Wigner-Hough transform(WHT),SPWD-Hough transform and improving WHT,feature extraction result of multi-component LFM signal using improved WHT proved to be the best. |
| |
| Keywords: | Sobel operator Wigner-Hough transform multi-component LFM signal feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《北京理工大学学报》浏览原始摘要信息 |
| 点击此处可从《北京理工大学学报》下载免费的PDF全文 |
|
