Reliable approach for bistatic scattering of three-dimensional targets from underlying rough surface based on parabolic equation
Dong-Min Zhang(张东民)1,2, Cheng Liao(廖成)1, Liang Zhou(周亮)1, Xiao-Chuan Deng(邓小川)1, Ju Feng(冯菊)1
1 Institute of Electromagnetics, Southwest Jiaotong University, Chengdu 610031, China; 2 Science and Technology on Electronic Information Control Laboratory, Chengdu 610031, China
Abstract A parabolic equation (PE) based method for analyzing composite scattering under an electromagnetic wave incidence at low grazing angle, which composes of three-dimensional (3-D) electrically large targets and rough surface, is presented and discussed. A superior high-order PE version is used to improve the accuracy at wider paraxial angles, and along with the alternating direction implicit (ADI) differential technique, the computational efficiency is further improved. The formula of bistatic normalized radar cross section is derived by definition and near-far field transformation. Numerical examples are given to show the validity and accuracy of the proposed approach, in which the results are compared with those of Kirchhoff approximation (KA) and moment of method (MoM). Furthermore, the bistatic scattering properties of composite model in which the 3-D PEC targets on or above the two-dimensional Gaussian rough surfaces under the tapered wave incidence are analyzed.
Dong-Min Zhang(张东民), Cheng Liao(廖成), Liang Zhou(周亮), Xiao-Chuan Deng(邓小川), Ju Feng(冯菊) Reliable approach for bistatic scattering of three-dimensional targets from underlying rough surface based on parabolic equation 2018 Chin. Phys. B 27 074102
[1]
Guo L X, Gou X Y and Zhang L B 2014 Chin. Phys. B 23 114102
[2]
Pino M R, Landesa L, Rodriguez J L, Obelleiro and Burkholder R J 1999 IEEE Trans. Antennas Propagat. 47 961
[3]
Wang A Q, Guo L X and Chai C 2011 Chin. Phys. B 20 050201
[4]
Liu P and Jin Y Q 2004 IEEE Trans. Antennas Propagat. 52 1205
[5]
Jia C G, Guo L X and Yang P J 2015 IEEE Antennas Wireless Propagat. Lett. 14 217
[6]
Li J, Guo L X, Zeng H and Han X B 2009 Chin. Phys. B 18 2757
[7]
Ye H X and Jin Y Q 2007 IEEE Trans. Geosci. Remote Sensing 45 1174
[8]
Guo L X and Xu R W 2015 IEEE Trans. Geosci. Remote Sensing 53 3885
[9]
Leontovich M and Fock V 1946 Acad. Sci. USSR. J. Phys. 10 13
[10]
Levy M F and Zaporzhets A A 1998 J. Acoust. Soc. Am. 103 735
[11]
Zaporozhet A A and Levy 1999 IEEE Trans. Antennas Propagat. 47 1688
[12]
Levy M F 2000 Parabolic Equation Methods For Electromagnetic Wave Propagation (1st Edn.) (London:IEE Press) pp. 10-12
[13]
Mallahzadeh A R, Soleimani M and Rashed-Mohassel J 2006 Progress in Electromagnetics Research, PIER 57 265
[14]
He Z, Fan Z H, Ding D Z and Chen R S 2015 ACES Journal 30 496
[15]
He Z and Chen R S 2015 IEEE Trans. Antennas Propagat. 63 2595
[16]
He Z and Chen R S 2016 IEEE Trans. Antennas Propagat. 64 4777
[17]
Pierson W J and Moskowitz L 1964 J. Geophys. Res. 69 5181
[18]
Martelly R and Janaswamy R 2009 IEEE Trans. Antennas Propagat. 57 1759
[19]
Collins M D 1993 J. Acoust. Soc. Am. 93 1736
[20]
Collins M D and Evans R B 1992 J. Acoust. Soc. Am. 91 1357
[21]
Ye H X and Jin Y Q 2005 IEEE Trans. Antennas Propagat. 53 1234
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