Investigation on Statistic Properties of SAR Return Signals Using MLFMA
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

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.