Chosen as KAIST’s Top 10 Research Achievements of 2015

2016-05-31 16:07
Our research has been chosen as one of the KAIST’s Top 10 Research Achievements of 2015.

Following is the related article:

The technology of small-scale Unmanned Airborne Vehicles(UAVs) is progressing rapidly. Small UAVs and drones are not easy to detect as the traditional radar systems. The concept of micro-chained radar system is proposed, and demonstrated to accurately detect these small UAVs. Experimental results detect small UAVs and succeeded in extracting the necessary information to detect, classify, locate, and potentially even take control of UAVs that pose a threat. The proposed radar is very useful to detect small UAV which is a malicious individual trying to harm others, those operating UAVs have the potential to disrupt public safety.

In the year of 2025, an UAV detecting radar network will be set up along all borders. Consequently, all UAVs deployed by North Korea will be effectively blocked. North Korea will be in a less favorable position than the Republic of Korea because of the apparent lack of information.

Unmanned aerial vehicles (UAVs), commonly known as drones, are difficult to detect using conventional radar systems. In this research, a precise radar system that can detect and identify small UAVs has been developed. Researchers succeeded in detecting them at ranges up to 1 km and extracting information of interest such as velocity and location. It is expected to improve technological readiness and achieve global competitiveness in the radar industry.

Recently, North Korea has deployed a fleet of indigenous small UAVs. As the North Korean military poses a serious threat to the Republic of Korea (ROK), particular attention should be given to surveillance systems. The ROK Army and Air Force are currently using a low-altitude surveillance radar system that has difficulty in tracking small UAVs and has limitations imposed by mountainous terrain of ROK. For this reason, several experiments were conducted using other radars imported from the UK and Israel but all failed. It is therefore necessary to develop an improved radar system whose resolution and sensitivity are high enough to accurately detect small UAVs.

Researchers have developed a 4-channel radar system for the detection of small UAVs with our own technologies. It can detect UAVs having little radar cross section (≤0.03m2) whereas those of an existing radar system of the ROK army are about 2.0m2 , which means the detection performance is improved greatly (60 times). Also, it is possible to identify UAVs using the discrepancy compared to birds and other clutters. The development of the radar system includes fabricating Ku-band antennas, designing RF circuitry and its synchronization, and implementing a tracking algorithm and real-time data processing. This system has 1 transmitter in the center and 4 receivers in the four cardinal directions to find out the exact location of the target. This optimum placement forms conical beam patterns and determines the range of air surveillance. Researchers succeeded in enhancing the overall performance of the system by utilizing digital signal processing. Not only has the stability and dynamic range of the system been improved, but the size of the system has been smaller and the cost has also been reduced compared to analog-based systems. This radar system has a bandwidth of 150 MHz and the radial resolution is 1 m. Researchers have a number of experiments to verify its performance. In particular, there was a field test with the national intelligence service (NIS) in Nov. 2015 and a demonstration watched by the president of KAIST in Dec. 2015. During both trials, it successfully detected and tracks all eleven various drones prepared.

This radar system can be used to guard the Military Demarcation Line and key national infrastructure as one of core technologies for the national security. As civil drones are increasingly being used, it is possible to commercialize the system for civilian demands.

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