RIA: Buried Object Detection with Synthetic Aperture Radars

9409890汉本项目的目标是为合成孔径成像技术开发一种改进的数据解释算法。用于恢复宿主介质属性的复合方案被集成到用于埋藏对象成像的相干聚焦算法中。最终目标是建立一种通用而可靠的微波成像系统，用于检测层状随机介质中的目标。讨论了在土木工程结构的地面穿透作业和无损评估中的应用。在该系统下，携带关于宿主介质的属性和嵌入目标的属性的信息的数据将被并行获取，但分别进行处理。为实现这一目的，设计了一种两阶段数据处理方案。首先，局域目标产生的信号和分层结构产生的信号的空间频谱之间的区别将被用作将信号与宿主介质隔离的机制。然后，提取的关于主体材料的信息将被用于成像算法，以对来自目标的信号提供正确的相位补偿。研究内容包括：(1)地表回波分离，(2)地下剖面反演，(3)模型在信号和噪声预测中的应用，(4)成像算法的发展，(5)目标探测方案的构建，(6)实验。***

9409890 Han The objective of this program is to develop an improved data interpretation algorithm for the synthetic aperture imaging technique. A composite scheme for retrieving the host medium property is integrated into the coherent focusing algorithm for buried object imaging. The final goal is to establish a general yet reliable microwave imaging system that can be used for inspecting targets embedded in stratified random media. Applications to ground-penetrating operations and nondestructive evaluation of civil engineering structures are addressed. Under this system, data carrying information on the property of the host medium and that of embedded targets will be acquired concurrently but processed separately. A two-stage date processing scheme is designed to achieve this purpose. First, the distinction between the spatial spectra of signals produced by localized targets and that by stratified structures will be used as the mechanism for isolating the signal from the host medium. Then, the extracted information on the host material will be used in the imaging algorithm to provide the correct phase compensation for signals from the targets. The following studies are included: (i) surface echo isolation, (ii) subsurface profile inversion, (iii) model application to signal and noise prediction, (iv) development of imaging algorithm, (v) construction of target detection scheme, and (vi) experiments. ***