针对人造目标的极化高分辨距离像,研究了雷达目标的空域极化特性和频率色散特性及其在散射机理分类中的应用。基于散射中心,利用极化分解技术对散射机理的类型进行判别,并分析了极化方位角补偿技术对由目标方位角变化而引起的类型误判的改善。此后结合目标的频率色散特性,得到了散射中心的特征矢量与典型结构间的对应关系,降低了类型判别的不准确性。通过仿真实验,验证了散射中心散射机理分类的有效性,为目标的分类识别提供了支撑与依据。
In this paper, we analyze the space polarization and frequency dispersion characteristics of the polarimetric High Resolution Range Profile (HRRP) of manmade targets. We integrate these characteristics and propose a novel scheme for scattering mechanism identification. Using a polarization decomposition technique, the scheme first identifies the scattering mechanism of the scattering centers. Specially, it uses an algorithm to compensate for the polarization orientation angle in order to decrease the errors in judgment caused by the varying azimuth. Then, based on the frequency dispersion characteristics, we design three- dimensional parameters to discriminate between the scattering centers, in order to decrease the inaccuracy in the discriminations. FinMly, we conduct simulations based on electromagnetic data to validate the feasibility of the proposed scheme and to demonstrate that it provides a basis for practical use in target recognition.