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A detailed functional diagram of an electromagnetic explosive detector based on a high-performance digital processor of the Blackfin type has been developed. The hardware part of this detector includes a radiating antenna that generates electromagnetic waves and a receiving antenna that registers the reflected signal. It also includes a signal amplification unit, an automatic gain control system that ensures signal stability under changing environmental conditions, digital-to-analog and analog-to-digital converters for processing signals in digital form, and a timing unit that synchronizes all hardware components. This architecture allows for efficient data collection and processing at high transmission speeds and ensures prompt clock updates for the converters. On the basis of the developed prototype detector, a comprehensive experimental test was carried out to confirm the adequacy of the previously created theoretical models described in previous studies. The experiments showed that the electromagnetic properties of the environment, in particular the level of soil watering, as well as the geometric parameters of the explosive object and its design features, significantly affect the detection results. Analysis of radar images obtained during testing of the detector on samples of PMN-2, PFM-1 and TM-62 mines confirmed the effectiveness of the developed approach. In particular, the detector demonstrates the ability to detect a TM-62 mine at depths of up to 50 cm, and for anti-personnel mines (PMN-2 and PFM-1) the effective detection depth is up to 20 cm. These indicators fully meet the tactical requirements for detecting anti-personnel and anti-tank mines. To further improve the recognition accuracy and signal resolution, it is proposed to use modern mathematical models and methods of data flow processing.
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Karpov et al. (2025) studied this question.
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