Research on Coded Excitation Using Kasami Sequence in the Long Rail Detection Based on UGW
Yao, Wenqing1,2; Yang, Yuan1; Wei, Xiaoyuan3
2022-05
发表期刊ELECTRONICS
卷号11期号:9
摘要For a broken rail detection system based on ultrasonic guided waves (UGW), the multi-modal and dispersion characteristics of UGW degrade signal-to-noise ratio (SNR) and range resolution. To improve the SNR of the received signals and range resolution, the coded excitation based on Kasami sequences is presented in this work Utilizing a PSpice model of piezoelectric ultrasonic transducers, as well as conducting field tests based on the pitch-catch mechanism, it is shown that encoded UGW signals can increase the SNRG (the gain of SNR) by 6.29 dB. The main lobe width of the coded excitation is mainly determined by the number of carrier cycles and the carrier waveform, and the size of the side lobes is mainly determined by the number of coding bits. To quickly identify the corresponding transmissions at the receivers, a peak detection algorithm is shown. It is based on bandpass filter, triangle filter and Hilbert transform. Its accuracy and effectiveness are validated by using some field tests under different distances. It can be concluded that the shown adaptive peak algorithm has strong robustness and immunity to noise.
关键词coded excitation Kasami sequence ultrasonic guided waves long rail detection
DOI10.3390/electronics11091465
收录类别SCIE
语种英语
WOS研究方向Computer Science ; Engineering ; Physics
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Physics, Applied
WOS记录号WOS:000795427900001
出版者MDPI
来源库WOS
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/158681
专题电气工程与信息工程学院
通讯作者Yang, Yuan
作者单位1.Xian Univ Technol, Fac Automat & Informat Engn, Dept Elect Engn, Xian 710048, Peoples R China;
2.Changzhou Inst Technol, Sch Elect & Informat Engn, Changzhou 213032, Jiangsu, Peoples R China;
3.Lanzhou Univ Technol, Dept Elect Informat Engn, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
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Yao, Wenqing,Yang, Yuan,Wei, Xiaoyuan. Research on Coded Excitation Using Kasami Sequence in the Long Rail Detection Based on UGW[J]. ELECTRONICS,2022,11(9).
APA Yao, Wenqing,Yang, Yuan,&Wei, Xiaoyuan.(2022).Research on Coded Excitation Using Kasami Sequence in the Long Rail Detection Based on UGW.ELECTRONICS,11(9).
MLA Yao, Wenqing,et al."Research on Coded Excitation Using Kasami Sequence in the Long Rail Detection Based on UGW".ELECTRONICS 11.9(2022).
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