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
Link To Document :
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