| 超低频接收信号降噪研究 |
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| 引用本文： | 李侃,李忠佳. 超低频接收信号降噪研究[J]. 武汉船舶职业技术学院学报, 2008, 7(2): 23-25 |
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| 作者姓名： | 李侃 李忠佳 |
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| 作者单位： | 1. 解放军西安通信学院,陕西西安,710106
2. 解放军信息工程学院,河南郑州,450001 |
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| 摘 要： | 在建立超低频接收信号模型的基础上,对超低频接收信号误码率性能进行了分析。将小波降噪算法应用于超低频噪声处理中,通过Monte Carlo计算机仿真试验,对基于小波降噪和传统数字滤波的方法对模拟的超低频接收信号进行噪声处理,并对降噪后的误码率性能进行分析,结果表明,应用小波降噪的方法对超低频接收信号进行非线性噪声处理,比传统数字滤波的方法能带来更高的信噪比增益。
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| 关 键 词： | 超低频 小波降噪 数字滤波 误码率 |
| 文章编号： | 1671-8100(2008)02-0023-03 |
| 修稿时间： | 2007-12-28 |
Signal De-noising in ELF Receiver |
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| LI Kan,LI Zhong-jia. Signal De-noising in ELF Receiver[J]. Journal of Wuhan Institute of Shipbuilding Technology, 2008, 7(2): 23-25 |
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| Authors: | LI Kan LI Zhong-jia |
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| Affiliation: | LI Kan ,LI Zhong-jia (1. Xi＇an Communication Institute, Xi＇an, 710106, China;2. PLA Information Engineering University, Zhengzhou 450001, China) |
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| Abstract: | Based on the ELF received signal model, bit error rate of it be analyzed. Waveletde-noising algorithm is applied in noise processing. By Monte Carlo computer simulation, noise buried in ELF signal is dealt with wavelet de-noising and traditional digital filter. Its quality of bit error rate is analyzed. Simulation results show that wavelet de-noising can get better gain in SNR than traditional digital filter. |
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| Keywords: | extreme low frequency wavelet de-noising digital filter bit error rate |
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