DocumentCode :
1775853
Title :
Inversion of ground parameters using genetic algorithms and engineering modeling for bistaticscattering
Author :
Xing Li ; Yaohui Li ; Zhensen Wu ; Yunhua Cao
Author_Institution :
Sch. of Phys. & Optoelectron. Eng., Xidian Univ., Xi´an, China
fYear :
2014
fDate :
26-29 July 2014
Firstpage :
1119
Lastpage :
1122
Abstract :
This paper describes the electromagnetic scattering model with concrete pavement and scattering properties of layered equivalent to a single exponential model of the electromagnetic spectrum engineering rough surface scattering, and then introduced the experimental method to measure the scattering coefficient of cement, the experimental apparatus and measurement system, and then later by the experimental scattering data obtained from the cement floor, Based on experimental data, we can obtained these parameters through the genetic algorithm, and then these parameters were carried into the formula to calculate the theoretical bistatic scattering coefficients, thus obtained bistatic scattering coefficients. Finally, this paper present several statistical models, based on genetic algorithms to optimizing the bistatic scattering data fitting and establish an empirical model.
Keywords :
cements (building materials); electromagnetic wave scattering; genetic algorithms; rough surfaces; statistical analysis; bistatic scattering data fitting; cement floor; concrete pavement; electromagnetic scattering model; electromagnetic spectrum engineering rough surface scattering; engineering modeling; genetic algorithms; ground parameters; scattering coefficient; scattering properties; statistical models; Data models; Electromagnetic scattering; Genetic algorithms; Rough surfaces; Sea surface; Surface roughness; bistatic scattering; genetic algorithm; rough; scattering; surface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (APCAP), 2014 3rd Asia-Pacific Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-4355-5
Type :
conf
DOI :
10.1109/APCAP.2014.6992708
Filename :
6992708
Link To Document :
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