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심재성 ( Sim Jaesung ),정윤교 ( Jung Yoonkyo ) 공군사관학교 2022 군사과학논집 Vol.73 No.2
최근 군 병력이 감소함에 따라 휴전선 부근 적을 감시할 수 있는 무인 감시장비의 필요성이 대두되고 있다. 따라서 현재 군의 감시 시스템은 다수의 카메라를 설치하여 소수의 인원이 교대로 감시 및 추적하는 방식으로 이루어지고 있다. 하지만 이러한 방식은 장시간 다수의 영상 정보에 집중해야 하는 감시 인력의 피로도 증가를 불러왔고, 결과적으로 무인 감시장비의 정확도 감소를 야기하고 있다. 본 연구에서는 소리 신호를 증폭하는 빔포밍 알고리즘을 설계하여 소리 정보를 바탕으로 소리의 발생 방향으로 감시장비를 유도 및 제어하는 시스템을 제안한다. 시스템 구현을 위해 MATLAB을 이용한 신호처리 샘플링, 힐베르트 변환, 빔포밍을 구현하였고, 해당 기술을 바탕으로 소리의 발생 방향을 추적할 수 있었다. 실험 환경에서 마이크 기준 좌우 15, 30, 45, 60도와 정면에서 소리를 20cm 간격으로 발생시켜 소리의 방향을 측정한 결과, 평균 3.4도, 최대 7도의 오차로 소리의 발생 방향을 추적할 수 있음을 확인하여 해당 시스템이 감시장비 유도에 유용함을 증명하였다. With the recent decrease in the number of military personnel, the need for unmanned surveillance equipment capable of monitoring enemies near the border has emerged. Therefore, most monitoring systems are currently installed with multiple cameras, and a small number of people take turns monitoring and tracking. However, this method has led to an increase in the fatigue of monitoring personnel who have to focus on a large number of image information for a long time, resulting in a decrease in the accuracy of unmanned monitoring equipment. This study proposes a system that induces and controls monitoring equipment in the direction of sound generation based on sound information by designing a beamforming algorithm that amplifies sound signals. To implement the system, signal processing sampling, Hilbert conversion, and beamforming were implemented using MATLAB, and the direction of sound generation could be tracked based on the corresponding technology. In the experimental environment, the sound direction was measured by generating the sound at intervals of 20cm from the left and right sides of the microphone at 15, 30, 45, 60 degrees and the front. As a result, it was found that the system was useful for inducing monitoring equipment.
심재성 ( Sim Jaesung ),정윤교 ( Jung Yoonkyo ) 공군사관학교 2022 空士論文集 Vol.73 No.2
With the recent decrease in the number of military personnel, the need for unmanned surveillance equipment capable of monitoring enemies near the border has emerged. Therefore, most monitoring systems are currently installed with multiple cameras, and a small number of people take turns monitoring and tracking. However, this method has led to an increase in the fatigue of monitoring personnel who have to focus on a large number of image information for a long time, resulting in a decrease in the accuracy of unmanned monitoring equipment. This study proposes a system that induces and controls monitoring equipment in the direction of sound generation based on sound information by designing a beamforming algorithm that amplifies sound signals. To implement the system, signal processing sampling, Hilbert conversion, and beamforming were implemented using MATLAB, and the direction of sound generation could be tracked based on the corresponding technology. In the experimental environment, the sound direction was measured by generating the sound at intervals of 20cm from the left and right sides of the microphone at 15, 30, 45, 60 degrees and the front. As a result, it was found that the system was useful for inducing monitoring equipment.