利用多层快速多极子技术对随机粗糙表面SAR回波信号统计特性的研究
doi: 10.3724/SP.J.1146.2005.00629
Investigation on Statistic Properties of SAR Return Signals Using MLFMA
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摘要: 该文主要目的是研究随机粗糙面SAR回波信号的统计特性。结合传统的Monte Carlo方法,利用多层快速多极子算法严格高效地模拟了三维随机粗糙面的SAR回波信号。依据常用SAR系统,将发射波的仰角固定在45,并让方位角在88~92之间变化,得到若干组随机表面的回波。计算回波幅值和相位的均值,得到一些值得关注的结论。
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关键词:
- SAR回波;随机面;多层快速多极子技术
Abstract: The principal objective of the present work is to investigate the statistic properties of SAR return signals. The Synthetic Aperture Radar (SAR) return signals from 3-dimensional Gauss random rough conducting surfaces is efficiently and accurately computed using Multi-Level Fast Multipole Algorithm (MLFMA) combined with traditional Monte Carlo method. According to the real situation of SAR, incidents elevation angles are fixed at 45, and relevant azimuth angles vary from 88 to 92. Return signals are divided into several groups in terms of geometry coefficients. Then the statistic properties of these obtained signals are investigated by computing the means of return signals amplitudes and phases. Several useful conclusions are acquired. -
[1] Ulaby F T, Moore R K, and Fung A K. Microwave Remote Sensing. Artech House, Dedham, MA, Vol.1, 1981, Chapter 1. [2] Fung A K. Microwave Scattering and Emission Models and Their Application. Artech House, Norwood, 1994, Chapter1. [3] Tsang L.[J].Kong J A, and Ding K H. Scattering of Electromagnetic Waves: Numerical Simulations. John Wiley Sons, New York.2000,:- [4] Garcia N and Stoll E. Monte Carlo calculation for electromagnetic-wave scattering from random rough surfaces[J].Phys. Rev. Lett.1984, 52(20):1798-1801 [5] Song J M and Chew W C. Multilevel fast-multipole algorithm for solving combined field integral equations of electromagnetic scattering[J].Microwave Opt. Tech. Lett.1995, 10(1):14-19 [6] Sheng X Q, Jin J M, Song J M, Lu C C, and Chew W C. Solution of combined-field integral equation using multilevel fast multipole algorithm for scattering by homogeneous bodies[J].IEEE Trans. on Antennas Propagat.1998, 46(11):1718-1726 [7] Song J and Chew W C. The fast Illinois solver code: requirements and scaling properties[J].IEEE Computational Science and Engineering.1998, 5(3):19-23
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