Antenna performance under GEO-property variations for real-time underground tomography

Abstract

Recent research has validated a proof-of-concept system for real-time underground tomography using wireless signal networks. Though models have been constructed to characterize wireless signal propagation through geo-media, there lacks a thorough investigation of antenna performance under geo-property variations. In this paper, we quantitatively show that soil condition variations affect antenna functional properties, including radiation efficiency, resonant frequencies, and internal reflection loss, etc. Our research indicates that adaptive sensing system design will be critical and beneficial to leverage real-time underground tomography performance under different geo-media conditions.