A Novel De-Noising Method for GPR Signal

被引：0
|
作者：
Yang, Linna [1 ]
Liu, Shufang [1 ]
Liu, Yaokun [1 ]
Liang, Shuoyi [1 ]
Shi, Xiaowei [1 ]
机构：
[1] Xidian Univ, Sch Electromagnet Field & Microwave Technol, IEEE Conf Publishing, Xian 710071, Peoples R China
来源：
2019 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2019) | 2019年
关键词：
ground penetrating radar (GPR); wavelet threshold de-noising; LMS adaptive filtering; joint de-noising;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
De-noising of target echo has attracted plenty of attention in better identification of target signals for ground penetrating radar (GPR). In this paper, a novel de-noising method for GPR signal is proposed. By adding LMS (Least Mean Square) adaptive filtering into wavelet threshold algorithm, both threshold processing of the high-frequency coefficients and filtering of the low-frequency coefficients are realized. Simulation result shows that the proposed joint de-noising method has better signal-to-noise ratio (SNR) and root mean square error (RMSE) compared with the performance of traditional wavelet threshold de-noising method.
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页数：3
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