SBIR PHASE I: Electrical Impedance Spectroscopic Sensor to Detect Objects in Soil and other Infrastructure Media

这一SBIR研究项目将扩展表面阻抗谱和层析成像，以识别和分类隐藏在土壤或其他基础设施介质中的深层次目标，如隧道。将开发基于形状的创新方法，以解决反演问题的不确定和不适定性质。先进的有限元技术将被用来产生传感器、辅助电子设备和土壤介质的正演模型。最大限度地使用先验知识将被用来限制和指导反演方法。新的反演算法将得到新的传感器和电子设备配置的支持，并结合改进的信号处理，以提高信噪比并减少噪声的影响。将在表面上扫描跟随地理参考传感元件的线性阵列的表面，以产生测量数据。阻抗谱将利用土壤在射频频段的高度色散特性来提供额外的信息，以提高对目标对象的辨别能力。新开发的技术将提供一个框架，可直接应用于其他传感方式，如声学和地震，以及其他应用，如保护历史基础设施。快速、非侵入性地识别材料中的异常是一个在建筑、基础设施测绘和保存、食品制备和生物系统中广泛应用的问题。

This SBIR research project will extend surface electrical impedance spectroscopy and tomography to identify and classify objects, such as tunnels, hidden deep in soil or other infrastructure media. Innovative shape-based approaches will be developed to address the under-determined and ill-posed nature of the inversion problem. Advanced finite element techniques will be used to produce a forward model of the sensor, ancillary electronics, and the soil medium. Maximum use of a-priori knowledge will be used to condition and guide the inversion approach. The new inversion algorithms will be supported by new sensor and electronics configurations combined with improved signal processing to improve signal to noise ratio and reduce the effects of noise. A surface following linear array of geo-referenced sensing elements will be scanned over the surface to produce the measurement data. Impedance spectroscopy will use the highly dispersive characteristic of soil in the radio frequency band to provide additional information to improve discrimination of target objects. The newly developed technology will provide a framework that can be directly applied to other sensing modalities, such as acoustic and seismic, and other applications, such as preservation of historic infrastructure. Rapid, non-invasive identification of anomalies in materials is a problem with wide application to construction, infrastructure mapping and preservation, foodstuffs preparation, and biological systems.