DocumentCode
2652508
Title
The analysis of ground penetrating radar signal of small objects based on generalized S transform
Author
Jilin, Huang ; Zhonglai, Huang ; Jianzhong, Zhang
Author_Institution
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
Volume
7
fYear
2010
fDate
16-18 April 2010
Abstract
In order to do some preliminary analyses on characteristics of ground penetrating radar (GPR) signal of objects in time and time-frequency domain, and discuss how to roughly estimate the size of an object as well as distance between two objects, firstly the characteristics of GPR signal in time domain was studied in this paper as the size and the distance were changing respectively, secondly the characteristics in time-frequency domain was studied through generalized S transform (GST), the extraction rule of twin-peak attribute was analyzed, the determination of transformation parameter and frequency point was solved. It is pointed out that the size of an object can be estimated in combination of time domain waveform and twin-peak attribute, the definition of a small object can be given according to the size and objective, the resolution of two objects can be improved by twin-peak attribute and the distance can be roughly estimated combined with the attribute and time domain waveform.
Keywords
ground penetrating radar; radar signal processing; time-frequency analysis; transforms; extraction rule; generalized S transform; ground penetrating radar signal; object size estimation; small object; time domain waveform; time-frequency domain; Fourier transforms; Frequency estimation; Ground penetrating radar; Information analysis; Signal analysis; Signal processing; Signal resolution; Time domain analysis; Time frequency analysis; Wavelet transforms; frequency point; generalized S transform; ground penetrating radar; parameter; resolution; twin-peak attribute;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485601
Filename
5485601
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