| 基于小波分析和多重自相关法的微弱信号检测技术 |
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| 引用本文： | 范晓志,王长广,黄晓红,宋学君. 基于小波分析和多重自相关法的微弱信号检测技术[J]. 计算机应用与软件, 2007, 24(5): 40-41,44 |
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| 作者姓名： | 范晓志 王长广 黄晓红 宋学君 |
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| 作者单位： | 河北师范大学物理与信息工程学院,河北,石家庄,050016;西南交通大学计算机与通信工程学院,四川,成都,610031;河北师范大学物理与信息工程学院,河北,石家庄,050016;河北理工学院自动化系,河北,唐山,063009 |
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| 基金项目： | 河北省科技厅科技攻关项目 |
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| 摘 要： | 离散小波变换具有时频分析特性,可把信号的细微变化反映出来,可明显提高信号的信噪比.在用小波变换进行预处理的前提下,利用正弦信号的特殊性质,在信号未知的情况下,通过多重自相关运算可检测出埋没于噪声中的微弱正弦信号.讨论了多重自相关法在白噪声背景、有色噪声背景等情况下的检测效果,并给出仿真结果.
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| 关 键 词： | 离散小波变换 自相关 微弱信号 有色噪声 |
| 修稿时间： | 2006-04-26 |
AN INSPECTING TECHNOLOGY FOR WEAK SINUSOIDAL SIGNAL BASED ON WAVELET ANALYSIS AND MULTI-LAYER AUTOCORRELATION |
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| Fan Xiaozhi,Wang Changguang,Huang Xiaohong,Song Xuejun. AN INSPECTING TECHNOLOGY FOR WEAK SINUSOIDAL SIGNAL BASED ON WAVELET ANALYSIS AND MULTI-LAYER AUTOCORRELATION[J]. Computer Applications and Software, 2007, 24(5): 40-41,44 |
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| Authors: | Fan Xiaozhi Wang Changguang Huang Xiaohong Song Xuejun |
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| Abstract: | Discrete wavelet transform (DWT) is a time-frequency analysis technology,which detects the subtle small changes in the signal spectrum and can improve the SNR. Based on the DWT,considering the sinusoidal signal has a particular autocorrelation trait,it is possible to detect the unknown weak signal in power noise. Multiple statuses are studied, when sine signal are disturbed by white noise or colored noise. Finally,the paper offers a simulation results. |
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| Keywords: | Discrete wavelet transform Auto correlation Weak signal Colored noise |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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