Research on Coded Excitation Using Kasami Sequence in the Long Rail Detection Based on UGW

doi:10.3390/electronics11091465

	Research on Coded Excitation Using Kasami Sequence in the Long Rail Detection Based on UGW
	Yao, Wenqing 2,3; Yang, Yuan 2; Wei, Xiaoyuan 1
刊名	ELECTRONICS
	2022-05-01
卷号	11 期号:9
关键词	coded excitation Kasami sequence ultrasonic guided waves long rail detection
DOI	10.3390/electronics11091465
英文摘要	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.
WOS研究方向	Computer Science ; Engineering ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000795427900001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158681]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Technol, Dept Elect Informat Engn, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China 2.Xian Univ Technol, Fac Automat & Informat Engn, Dept Elect Engn, Xian 710048, Peoples R China; 3.Changzhou Inst Technol, Sch Elect & Informat Engn, Changzhou 213032, Jiangsu, Peoples R China;
推荐引用方式 GB/T 7714	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).