Volume 4 Issue 5
Nov.  2015
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Hao Tianduo, Cui Chen, Gong Yang, Sun Congyi. Waveform Design for Cognitive Radar Under Low PAR Constraints by Convex Optimization[J]. Journal of Radars, 2018, 7(4): 498-506. doi: 10.12000/JR18002
Citation: Yu Fan, Yuan Jie. A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)[J]. Journal of Radars, 2015, 4(5): 560-570. doi: 10.12000/JR15067
shu

A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)

DOI: 10.12000/JR15067

  • (Chinese Academy of Surveying and Mapping, Beijing 100830, China)

Funds:

Supported by the National Key Basic Research Program of China (2013CB733400), the National Natural Science Foundation of China (Grant Number: 41471299), and the Key Projects in the National Science and Technology Pillar Program (2012BAH28B03).

  • Received Date: 2015-05-28
  • Rev Recd Date: 2015-10-27
  • Publish Date: 2015-10-28
    Abstract

  • In this paper, we present a Modified Two-Scale Microwave (MTSM) scattering model to describe the scattering coefficient of naturally rough surfaces. The surface roughness is assumed to be Gaussian in the proposed model so that the surface height z(x, y) can be split into large- and small-scale components by the wavelet packet transform according to electromagnetic wavelength. We used the Kirchhoff Model(KM) and Small Perturbation Method (SPM) to estimate the backscattering coefficient of large- and small-scale roughness, respectively. The tilting effect caused by the slope of large-scale roughness was corrected when calculating the contribution of backscattering to small-scale roughness. The backscattering coefficient of the MTSM comprised the total backscattering contributions of surfaces with both scales of roughness. The MTSM was tested and validated using the Advanced Integral Equation Model (AIEM) for dielectric randomly rough surfaces. The accuracy of the MTSM showed favorable agreement with AIEM, both when the incident angle was less than 30 (i30) and when the surface roughness was small (ks=0.354).

     

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    • References(23)
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