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박상배,류존하,이균경 대한전자공학회 1994 전자공학회논문지-B Vol.b31 No.1
In this paper, we propose a probabilistic model appropriate for the bearing estimator which uses cross-correlation method following a close investigation on real underwater acoustic bearing data. The well-known JPDA(Joint Probabilistic Data Association) filter is tuned to the underwater acoustic bearing estimation based on the result that the reliability of the bearing measurement is related to the amplitude of the cross-correlation peak. The proposed probabilistic model is shown to be adequate by presenting the results of the improved tracking performance of the modified filter for various real bearing data as well as artificially generated ones.
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전투체계 시스템을 위한 실시간 환경에서의 비동기 이중화 기법 연구
이재승,류존하,Lee, Jae-Sung,Ryu, Jon-Ha 한국군사과학기술학회 2007 한국군사과학기술학회지 Vol.10 No.2
In a naval combat system, the information processing node is a key functional equipment and performs major combat management functions including control sensor and weapon systems. Therefore, a failure of one of the node causes fatal impacts on overall combat system capability. There were many methodologies to enhance system availability by reducing the impact of system failure like a fault tolerant method. This paper proposes a fault tolerant mechanism for information processing node using a replication algorithm with hardware duplication. The mechanism is designed as a generic algorithm and does not require any special hardware. Therefore all applications in combat system can use this functionality. The asynchronous characteristic of this mechanism provides the capability to adapt this algorithm to the module which has low performance hardware.
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Performance Comparison of Tracking Filters in Terms of Predicted Hitting Point
서태일,이범직,류존하,이성은,김의진 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.2
This article describes the performance comparison of several tracking filters from the viewpoint of gun fire control. It is common that filter performance can be represented by the RMSE of the current state. However, for the design of a gun fire control system, the performance of the tracking filter in terms of prediction is more important since the current state proceeds with a designed dynamic model to a certain future which is used for the final gun order. It is shown that the predicted results amplify the current state RMSE and can be a good measure.
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장덕홍,박홍배,김성일,류존하,김광태 한국음향학회 2003 韓國音響學會誌 Vol.22 No.7
수동 소나를 이용하여 기동 표적의 위치를 추정하는 정합-표적모델 역산 기법을 개발하였다. 본 기법은 수중음향학 분야에서 널리 사용되는 정합장 역산 방법을 이용하여 관측으로부터 얻어지는 방위와 주파수를 표적모델에 의해 계산되는 값과 정합 시킴으로써 표적의 위치를 파악한다. 효율성과 정확성을 향상시키기 위하여 변수의 탐색 방식은 혼성 최적화 기법을 이용하였는데 일차적으로 광역 최적화 기법으로 알려진 유전자 기법이나 모사 담금질 기법을 적용한 후 단순 비탈 국부최적화 기법을 순차적으로 적용하였다. 제안 기법의 성능 검증을 위하여 3가지의 기동 시나리오에 대하여 시뮬레이션을 실시하였다. 검증 결과 가우시안 확률분포를 갖는 측정오차가 5σ를 가지는 경우에도 견실한 수렴을 보여주었으며 계산 시간면에서도 실용적 인 것으로 밝혀졌다. A matched-target model inversion method was developed for a passive sonar to estimate the position of moving targets. Based on the well known matched-field processing in underwater acoustics, the method finds target position by matching the measured target directions and frequencies with the corresponding values of the proposed target model. For the efficient and accurate estimations, the parameter searching was accomplished using a hybrid optimizing method, which first starts with a global optimization such as generic algorithm or simulated annealing then applies a local optimization of a simple down hill algorithm. The suggested method was testified using simulations for three different moving scenarios. The simulation results showed that the method is robust in convergence, even under the situation of over 5 times standard deviation of Gaussian distribution of measured error, and is practical in calculation time as well.
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