基于内部谐振的弱信号补偿介电目标重构算法

发布时间：2018-06-20 08:31

本文选题：目标重构 + 内部谐振　；参考：《电子与信息学报》2017年12期

【摘要】：对断裂或下沉路基等电大尺寸异质体目标重构其几何特征(如位置,形状,尺寸等),在环境地质等工程应用及市政基础设施维护中尤为重要。然而由于电磁波在目标体内部的衰减,使得目标下表面反射回波很弱。对此该文提出一种基于内部谐振的弱信号补偿目标重构算法。由于有限目标边界的限制,电磁波在目标体内部沿传播方向产生多次反射,此现象在采样时间记录信号上体现为周期谐振。分析了谐振周期与目标宽度的关系并由此估计目标下表面的位置,结合去除虚像以后的目标前表面位置,重构目标形状。实验结果验证了提出方法的有效性以及对噪声的鲁棒性。
[Abstract]:It is very important to reconstruct the geometric characteristics (such as location, shape, size, etc.) of electrically large heterogeneous objects such as fracture or subgrade, which is especially important in environmental geology and other engineering applications and maintenance of municipal infrastructure. However, due to the attenuation of electromagnetic waves in the target body, the surface reflection echo is very weak. In this paper, a weak signal compensation target reconstruction algorithm based on internal resonance is proposed. Due to the limitation of the finite target boundary, the electromagnetic wave is reflected several times along the propagating direction in the body of the target, which is reflected as periodic resonance on the sampling time recording signal. The relationship between the resonant period and the target width is analyzed and the position of the lower surface of the target is estimated. After removing the virtual image the front surface position of the target is combined and the target shape is reconstructed. Experimental results show that the proposed method is effective and robust to noise.
【作者单位】：桂林电子科技大学宽带与智能信息技术中心;西安电子科技大学电子工程学院;
【基金】：国家自然科学基金(61371186,61162007) 广西自然科学基金(2013GXNSFFA019004)~~
【分类号】：TN958

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