用于gnss-r陆地应用的物理斑块模型

Jiyue Zhu, L. Tsang, Haokui Xu
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引用次数: 10

摘要

我们考虑将全球导航卫星系统反射计(GNSS-R)用于陆地应用。土地的一个显著特征是地形有多种海拔。高程的均方根以米为单位,导致不同高程之间的相位随机,从而影响具有确定相位的相干波和菲涅耳带效应,如Kirchhoff数值模拟器(KA模拟器)所示。在本文中,我们开发了一个计算效率高的物理补丁模型。足迹内的整个区域被划分为小块。每个贴片小到足以满足平面波入射,大到足以忽略贴片之间的相互波相互作用。计算了相干场和非相干场的双基地散射截面。利用麦克斯韦方程组三维数值解的查找表(LUTs)得到了平面波入射的双稳态截面。SWC表示加权相干场在patch上的和。SWICI表示斑块上加权非相干强度的总和。接收功率公式为SWC和SWICI功率之和(SWC/SWICI公式)。每个贴片的权重因子是基于几何形状、球面波以及场振幅和相位变化的考虑。我们还提出了一个替代公式,即“相关性”公式,使用来自每个物理区域的功率总和和来自各个区域的SWCs的相关性。分析表明,SWC/SWICI公式与“相关”公式是相同的。结果与KA模拟器和两种常用模型(相干模型和非相干模型)进行了比较。斑块模型的结果与KA模拟器的结果一致。仿真结果介于相干模型和非相干模型之间。与KA模拟器相比,patch模型的计算效率更高,结果也更准确。在本文示例中,只要patch尺寸小于50 m且远大于GNSS-R频率波长,则patch模型结果与patch尺寸无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A PHYSICAL PATCH MODEL FOR GNSS-R LAND APPLICATIONS
We consider the Global Navigation Satellite System Reflectometry (GNSS-R) for land applications. A distinct feature of land is that the topography has multiple elevations. The rms of elevations is in meters causing random phases between different elevations, which affect the coherent wave that has definite phase and the Fresnel zone effects as shown previously by a Kirchhoff numerical simulator (KA simulator). In this paper, we develop a physical patch model that is computationally efficient. The entire area within the footprint is divided into patches. Each patch is small enough to satisfy the plane wave incidence and is large enough to ignore mutual wave interactions between patches. The bistatic scattering cross section of each patch for the coherent and incoherent field is computed. The bistatic cross section of plane wave incidence is obtained from lookup tables (LUTs) of the numerical 3D solution of Maxwell equations (NMM3D). The SWC represents the summation of weighted coherent fields over patches. The SWICI represents the summation of weighted incoherent intensities over patches. The formula of the received power is the sum of powers from the SWC and SWICI (the SWC/SWICI formula). The weighting factor of each patch is based on the geometry, spherical waves, and the considerations of field amplitudes and phase variations. We also present an alternative formula, the “correlation” formula, using the summation of power from each physical area and correlations of SWCs from areas. The SWC/SWICI formula and the “correlation” formula are shown analytically to be the same. Results are compared with the KA simulator and two common models (the coherent model and the incoherent model). Results of the patch model are consistent with the KA simulator. For the simulation cases, the results fall between the coherent model and the incoherent model. The patch model is much more computationally efficient than the KA simulator and the results are more accurate. In examples of this paper, the patch model results are independent of patch size as long as the patch size smaller than 50 m and much larger than the wavelength of GNSS-R frequency.
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