文章基本信息

标题：UNDERGROUND OBJECT DETECTION BASED ON RADIO PROPAGATION CHARACTERISTICS
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作者：SUHERMAN ; ERWIN WIJAYANTO ; ALI HANAFIAH RAMBE 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：1
页码：48
出版社：Journal of Theoretical and Applied
摘要：Underground object detection is useful to explore underground resources as well as to monitor underground infrastructure. Underground object detection has been employed for mineral exploration, archeological material finding and underground fault detection. Existing systems usually employ the ground penetration radar (GPR) that makes use radio signal reflection. GPR weakness is that the device relies only on a single point of signal receptions that minimize the scope of detection. This paper proposes multipoint radio receptions for underground object detection based on the received signals instead of the reflected ones. The proposed system was initially tested experimentally for bandwidth range of 97 MHz to 130 MHz which results error shifting from the employed model about 50.33% at frequency 130.762 MHz, 17.58% at 109.818 MHz and 13.38% at 97.335 MHz. Method of finding the best frequency is then developed by employing gradient comparison. Higher frequencies were chosen from 500 MHz to 1 GHz as these frequency results worse losses to ensure experiments were conducted in the worst condition. The analysis found that 537.69 MHz is the best frequency for the frequency range. In order to reconstruct the detected object, the number of multipath propagations is then determined. The object detections were then measured based on the supervised and unsupervised techniques. The supervised method exerted better precision compared to the unsupervised method by at least 30% with the detected object reducing the received signal up to 1.86 dBm or 2.68% in average.
关键词：Underground object detection; radio propagation losses; propagation model