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Lidar signal de-noising based on wavelet trimmed thresholding technique | |
其他题名 | Lidar signal de-noising based on wavelet trimmed thresholding technique |
Fang Haitao1; Huang Deshuang1 | |
2004 | |
发表期刊 | 中国光学快报:英文版 |
ISSN | 1671-7694 |
摘要 | Lidar is an efficient tool for remote monitoring, but the effective range is often limited by signal-to-noiseratio (SNR). By the power spectral estimation, we find that digital filters are not fit for processing lidarsignals buried in noise. In this paper, we present a new method of the lidar signal acquisition based onthe wavelet trimmed thresholding technique to increase the effective range of lidar measurements. Theperformance of our method is investigated by detecting the real signals in noise. The experiment resultsshow that, our approach is superior to the traditional methods such as Butterworth filter |
其他摘要 | Lidar is an efficienttool for remote monitoring, but the effective range is often limited by signal-to-noise ratio (SNR). By the power spectralestimation, we find that digital filters are not fit for processing lidar signals buried in noise. In this paper, we present a new method of the lidar signal acquisition based on the wavelet trimmed thresholding technique to increase the effective range of lidar measurements. The performance of our method is investigated by detecting the real signals in noise. Theexperiment results show that our approach is superior to the traditional methods such as Butterworth filter. |
关键词 | 激光雷达信号 微波修整限制技术 遥控技术 能谱估计 数字滤波器 光脉冲散射 |
收录类别 | CSCD |
语种 | 中文 |
CSCD记录号 | CSCD:1844941 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/50701 |
专题 | 中国科学院合肥物质科学研究院 |
作者单位 | 1.Institute of Intelligent Machines, Chinese Academy of Sciences 2.Institute of Intelligent Machines, Chinese Academy of Sciences |
第一作者单位 | 中科院合肥智能机械研究所 |
推荐引用方式 GB/T 7714 | Fang Haitao,Huang Deshuang. Lidar signal de-noising based on wavelet trimmed thresholding technique[J]. 中国光学快报:英文版,2004,002. |
APA | Fang Haitao,&Huang Deshuang.(2004).Lidar signal de-noising based on wavelet trimmed thresholding technique.中国光学快报:英文版,002. |
MLA | Fang Haitao,et al."Lidar signal de-noising based on wavelet trimmed thresholding technique".中国光学快报:英文版 002(2004). |
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