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이의혁,Lee Eui-Hyuk 한국군사과학기술학회 2004 한국군사과학기술학회지 Vol.7 No.3
Image enhancement for Infrared imaging system is mainly based on the global histogram equalization. The global histogram equalization(GHE) is a method in which each pixel is equalized by using a whole histogram of an image. GHE is speedy and effective for real-time imaging system but its method fails to enhance the fine details. On the other hand, the basic local histogram equalization(LHE) method uses sliding a window and. the pixels under the window region are equalized over the whole output dynamic range. The LHE is adequate to enhance the fine details. But this method is computationally slow and noises are over-enhanced. So various local histogram equalization methods have been already presented to overcome these problems of LHE. In this paper, a new regional dynamic range histogram equalization (RDRHE) is presented. RDRHE improves the equalization quality while reducing the computational burden.
대전차 위협체 상태추정을 위한 퍼지 규칙기반 적응적 칼만필터
이의혁,조규공,박상순,강윤식,Lee, Eui-Hyuk,Cho, Kyu-Gong,Park, Sang-Soon,Kang, Youn-Sik 한국군사과학기술학회 2012 한국군사과학기술학회지 Vol.15 No.1
To neutralize fast Anti-Tank Guided Missiles(ATGMs) or Anti-Tank Rockets(ATRs) projected at short ranges, the trajectories and times that the threats arrive at hard-kill systems should be predicted precisely. The trajectories of ATGMs or ATRs are almost stationary but the velocity and acceleration are very changeable in the terminal stage, so that it is needed to predict the characteristics of ATGMs and ATRs for filtering. In this paper the Fuzzy Rule based Adaptive Kalman Filter(FRAKF) is proposed to estimate the position, velocity and acceleration of the threats with accuracy and the performance of it is compared with the existing tracking filter considering the maneuvering characteristics of threats.
비동기 이종 센서를 이용한 데이터 융합기반 근거리 표적 추적기법
이의혁(Eui-Hyuk Lee) 대한전자공학회 2012 전자공학회논문지 Vol.49 No.9
본 논문은 근거리에서 접근하는 표적에 대한 레이더와 열영상의 관측데이터를 기반으로 정보융합을 수행하여 표적을 추적하는 알고리즘을 기술하고 있다. 일반적으로 칼만필터를 이용한 추적 융합 방법은 동기화된 레이더 및 열영상의 데이터를 근간으로 하고 있으며, 비동기적으로 동작하는 실제 시스템에 적용하기에는 많은 제한사항을 가지고 있다. 제안된 알고리즘에서의 중점사항은 동기화되어 있지 않은 서로 다른 두 센서인 레이더와 열영상의 관측데이터가 입력되었을 때 레이더의 거리정보와 추적상태벡터를 이용하여 관측값의 시간차이를 보상하여 관측치 융합 후 추적을 수행하는 것이다. 제안된 알고리즘의 성능평가를 위해 기존의 궤적기반 정보융합방법 및 측정치 융합기법과 성능을 비교하여 제시한다. This paper presents an target tracking algorithm for fusion of radar and infrared(IR) sensor measurement data. Generally, fusion methods with Kalman filter assume that processing data obtained by radar and IR sensor are synchronized. It has much limitation to apply the fusion methods to real systems. A key point which is taken into account in the proposed algorithm is the fact that two asynchronous dissimilar data are fused by compensating the time difference of the measurements using radar"s ranges and track state vectors. The proposed fusion algorithm in the paper is evaluated via a computer simulation with the existing track fusion and measurement fusion methods.
클러터 환경 하에서 다수표적 추적을 위한 마코프체인 기반 자료연관기법 연구
이의혁(Eui-Hyuk Lee),송택렬(Taek-Lyul Song) 한국정보기술학회 2017 한국정보기술학회논문지 Vol.15 No.3
This paper describes data association technique based on the Markov chains data association for multi-target tracking in the cluttered environments. The existing joint probabilistic data association for tracking multiple targets in clutters consider all the feasible joint events to associate measurements with tracks. Even in a few existing targets under clutters the feasible joint events increase exponentially, which require such a significant amount of time to be applied in real-time applications. In the paper Markov chains model the data association between tracks and measurements and its data association probabilities are approximated by representative joint events. This algorithm maintains superior tracking performances and reduces the computational time. For evaluating the proposed method its performances are compared with other several data associations with regards to track confirmation rate statistics under the scenario where multiple targets are crossing in heavy clutters.
미사일/로켓 방어체계의 RPG-7에 대한 전차방호 성능분석
하종수,이의혁,이현아,박규철,조규공,Ha, Jong-Soo,Lee, Eui-Hyuk,Lee, Hyun-Ah,Park, Gyu-Churl,Cho, Kyu-Gong 한국군사과학기술학회 2014 한국군사과학기술학회지 Vol.17 No.3
MRDS is a short range missile/rocket defense system which protects a main battle tank(MBT) from threats at a short range. It is composed of 2 radars, 2 infrared trackers(IRT)s, 1 fire control computer(FCC), 2 launchers and countermeasures. In this paper, the radar and the IRT models based on sensing errors, the FCC model based on filtering errors, the launcher model based on driving errors and the countermeasure model based on flying errors are proposed to analyze the defense performance with the approaching RPG-7 and the moving MBT. The simulation results are presented to evaluate and verify the effectiveness of the proposed method.
하종수,이의혁,이현아,박규철,조규공,Ha, Jong-Soo,Lee, Eui-Hyuk,Lee, Hyun-Ah,Park, Gyu-Churl,Cho, Kyu-Gong 한국군사과학기술학회 2014 한국군사과학기술학회지 Vol.17 No.3
MRDS is a short range missile/rocket defense system which protects a main battle tank(MBT) from threats in a short range. It is composed of 2 radars, 2 infrared trackers(IRTs), 1 fire control computer(FCC), 2 launchers and countermeasures. To guarantee the performance of the MRDS, these components have to be mounted on the vehicle with the known positions and directions and it is required to compensate the alignment errors. In this paper, a system alignment method using angular error compensation is proposed to install its components within a tolerance on the MBT. The test results are presented to evaluate and verify the effectiveness of the proposed method.
다중센서 정보를 이용한 구름 클러터 환경의 대공표적 추적
선선구(Sun-Gu Sun),이의혁(Eui-Hyuk Lee) 한국정보기술학회 2021 한국정보기술학회논문지 Vol.19 No.4
Detecting and tracking of small unmanned aerial vehicles (UAVs) that are illegally operated have become a very important task in facility security like an airport or power plant. In order to track drones in the background of a cloudy sky, when one sensor used, it is difficult to track them due to environmental changes. Therefore, multi-sensors are selectively used in this application. In our system, a laser range finder is used to measure the distance to the target, and Mid Wave InfraRed (MWIR) and Short Wave InfraRed (SWIR) image sensors are used to track the target. In particular, the proposed method, which is based on the Kernelized Correlation Filter (KCF) algorithm, is insensitive to scale and environmental changes due to using distance measurement data, MWIR images, and SWIR images. The effectiveness of the proposed method was verified through the experiment while utilizing both the target distance and image data acquired in real environment. In addition, it was able to stably track the target even in a variable environment of cloud clutter.
능동위상배열 레이더에서 커플링 라인을 이용한 송수신 채널 보정 연구
조병래(Byung-Lae Cho),이정수(Jung-Soo Lee),선선구(Sun-Gu Sun),이종민(Jong-Min Lee),이의혁(Eui-Hyuk Lee),이석곤(Seok-Gon Lee) 한국정보기술학회 2016 한국정보기술학회논문지 Vol.14 No.10
Here, we describe the calibration method using coupling lines of transceiver channels in active phased array radar system. It is ideal to calibrate each channel of the transceiver in an anechoic chamber, but the radar system operated in battlefield should be equipped with the calibration system. The proposed method in this paper can be immediately applied when the radar system is operated in battlefield. The signal of the coupling line is received by controlling each channel of the transceiver in the radar system. And then, the difference of the amplitude and phase can be calibrated by control of each channel of the transceiver. We manufacture the active phased array radar system, and the radar system is fully calibrated in anechoic chamber. The performance of the proposed method is compared with the calibration results in anechoic chamber. The results shows that sidelobe level of both case is similar but half power beamwidth is different about 2.7%.