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| 基于小波分解的无线电引信目标识别 | |
| 引用本文： | 单剑锋,翁贻方,刘载文,崔占忠.基于小波分解的无线电引信目标识别[J].计算机仿真,2007,24(4):304-305,317. |
| 作者姓名： | 单剑锋 翁贻方 刘载文 崔占忠 |
| 作者单位： | 1. 南京邮电大学光电工程学院,江苏,南京,210003;北京工商大学信息工程学院,北京,100037 2. 北京工商大学信息工程学院,北京,100037 3. 北京理工大学机电工程学院,北京,100081 |
| 摘 要： | 多普勒无线电引信目标识别的传统的方法是利用多普勒信号的幅值和增幅速率等特征进行目标信号识别.为使无线电引信在强背景噪声干扰的情况下能够正确地识别目标,就需要采取有效的信号处理方法识别目标.文中根据无线电引信回波多普勒信号功率主要集中在低频部分的特点,对淹没在噪声中的无线电引信回波信号进行小波分解,提取在不同频带内信号能量作为特征,用Fisher判别方法对目标进行检测.针对不同信噪比,对某典型无线电引信回波信号进行定量研究,从仿真结果可以得出该文方法能处理信号的信噪比达-7dB,表明该方法是有效的. |
| 关 键 词： | 小波变换 无线电引信 特征提取 小波分解 无线电引信 目标识别 Target Detection Fuze Radio Based 处理信号 仿真结果 定量研究 信噪比 检测 判别方法 Fisher 信号能量 频带 提取 回波信号 噪声干扰 低频 |
| 文章编号： | 1006-9348（2007）04-0304-02 |
| 修稿时间： | 2006-02-202006-09-05 |
Wavelet Based Radio Fuze Target Detection |
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| SHAN Jian-feng,WENG Yi-fang,LIU Zai-wen,CUI Zhan-zhong.Wavelet Based Radio Fuze Target Detection[J].Computer Simulation,2007,24(4):304-305,317. | |
| Authors: | SHAN Jian-feng WENG Yi-fang LIU Zai-wen CUI Zhan-zhong |
| Abstract: | The traditional Doppler radio fuze target detection method uses Doppler signal amplitude and its increment. It is necessary to use advanced signal processing method for target detection under strong background noise. In view of this, some new signal processing methods are studied for radio fuze target detection. Feature extraction of radio fuze signal using wavelet transform is discussed in this paper. The signal is first decomposed by wavelet transform,and on the basis, the decomposed coefficicients are reconstructed to form a new time series, from which some energy parameters can be extracted by time-domain analysis. The target signal is detected by Fisher discrimination criterion. The effectiveness of the method is verified by a typical radio fuze signals with different signal to noise ratio( SNR) ,the minimum SNR to . |
| Keywords: | Wavelet transform(WT) Radio fuze Feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |