Radar system plays a crucial role in modern defense systems, and its development has become increasingly important worldwide. This study assesses the radar technology levels by country and explores development strategies for South Korea based on a comparative analysis. The findings indicate that South Korea's radar technology level stands at 81 % of the most advanced country, which is 1 %p lower than the overall national defense science and technology level. While South Korea has recently made progress through the independent development of AESA(Active Electronically Scanned Array) radar, a technological gap still remains in underdeveloped and unacquired areas. To address this issue, this study suggests development strategies from both policy/institutional and R&D perspectives. The proposed strategies are expected to enhance the self-sufficiency of South Korea's radar systems and reduce the technological disparity with advanced countries.

Wildfires pose significant environmental and economic challenges, intensifying due to climate change. This study introduces the Guided Fire Extinguishing Device(GFED), an autonomous air-to-ground system leveraging deep learning for precise wildfire detection, tracking, and response. Using a deep learning model for object detection and the Nona Filter, a priority-based target tracking algorithm, GFED achieves robust performance in adverse conditions such as strong winds, night view, and heavy smoke. Key contributions include optimized deep learning model training, precise mechanical trajectory control, and real-time tracking capabilities. The aerodynamic design, optimized for payload capacity and stability, ensures scalability and reliability. Experimental results demonstrate the effectiveness of GFED, achieving a mean average precision(mAP) of 94.5 % for fire detection. This transformative approach enhances global wildfire response efforts, offering improved safety and efficiency in combating the growing threat of wildfires.

In this study, we developed a device that can remotely change the deflection angle during the wind tunnel test by installing the small motors and a driving mechanism to set the angle of control surface for the missile. The torque of the motor required during the wind tunnel test is 0.6 Nm, and the maximum diameter of the motor is 20 mm. The motor can controled the angle within ±0.1 degree. After designing and manufacturing the device, the dummy weight was applied to confirm the driving torque and control requirements of the system.

With recent advances in underwater stealth technology, the URN(Underwater Radiated Noise) levels of warships are becoming significantly low. Therefore, low background noise is essential to measure the URN of these ships accurately. In order to meet this condition, it requires an array-based URN measurement system and a measurement procedure that is more robust against background noise than a traditional single-sensor system. In this study, we propose a measurement procedure that utilizes a VLA(Vertical Line Array) configuration combined with underwater acoustic telemetry to determine both the distance and bearing of the target vessel. By incorporating near-field beamforming, the proposed system can effectively suppress background noise through array gain. To validate the proposed measurement procedure, verification experiments were conducted using isotropic acoustic source. The results of these experiments demonstrated that the VLA-based URN measurements were in close agreement with the reference levels obtained from a single hydrophone placed at 1m. Subsequently, the procedure was applied to a full-scale vessel under drafting conditions. The results showed that the beamforming-based VLA approach provides comparable source level measurements to those obtained with a single sensor, while effectively suppressing unwanted noise from underwater telemetry.

We propose a system with multiple functions added from telemetry devices, where one-way measurement was the main task from S-Band transmitter.(Only down link) The system modularized and integrated the FTR(Flight Termination Receiver) for receiving emergency termination commands, and utilized the S band of telemetry and the UHF band of the FTR to establish a two-way link.(Use Up-link & Down-link) In addition, GPS receivers were modularized and combined to track the flight trajectory of the aircraft equipped with the device.

In this study, we propose a method for applying small quadcopters to military delivery missions. First, we calculate the aerodynamic performance with BEMT, derive the flight characteristics by propulsion types, and then apply it to the mission scenario to derive the operational concept. Battery-powered small quadcopters are advantageous for short-distance delivery missions in small units in the contact area, and gasoline-powered ones are suitable for low-altitude, long-distance medium-sized cargo delivery in units above the company level.

The importance of research on unmanned systems has grown considerably with advancements in science and technology and the need to minimize human casualties. Among these systems, autonomous driving technology for unmanned ground vehicles(UGVs) has garnered significant attention due to its high usability and scalability. Autonomous driving systems for UGVs must be capable of executing complex military operations and adapting flexibly to unpredictable environments. To address these challenges, we propose a mission control-based autonomous driving system for multiple unmanned ground robots. This system comprises three core functions: perception, decision-making, and control, which are integrated to enhance overall performance. To validate the proposed system, we conducted simulations and indoor experiments, with results demonstrating its effectiveness.

This paper presents a Kalman filter-based estimation method of tracking-error of monopulse antenna for satellite communication(SATCOM) on-the-move. Basically, a line-of-sight(LOS) stabilization is important to communication terminals equipped to the moving platforms since those are continuously exposed to unexpected external disturbances. The step-tracking method, which is widely used as LOS stabilization for satellite tracking, has limitations of fast dynamics and precise tracking. The monopulse antenna can overcome the problems by directly computing the tracking-error without any scanning movement. Despite the advantage, the tracking-error signal is severely distorted when the received microwave has low signal to noise ratio such as the SATCOM. This study proposes Kalman filter-based estimation method to improve tracking-error accuracy by using the gyroscope located at the end of load. The additional use of gyroscope measurement can compensate the distorted monopulse signal. This study proves the physical relation between the monopulse tracking-error and the gyroscope angular velocity. Also, the implemented experimental set-up in laboratory verifies the performance of proposed method in practice.