• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.43-52
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• 2014

In this paper, we propose the target detection method using image displacement, and classification method using SURF(Speeded Up Robust Features) feature points and BAS(Beam Angle Statistics) in infrared images. The SURF method that is a typical correspondence matching method in the area of image processing has been widely used, because it is significantly faster than the SIFT(Scale Invariant Feature Transform) method, and produces a similar performance. In addition, in most SURF based object recognition method, it consists of feature point extraction and matching process. In proposed method, it detects the target area using the displacement, and target classification is performed by using the geometry of SURF feature points. The proposed method was applied to the unmanned target detection/recognition system. The experimental results in virtual images and real images, we have approximately 73~85% of the classification performance.

• The Journal of the Acoustical Society of Korea
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• v.23 no.3
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• pp.206-213
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• 2004

This paper presents a steering angle error compensation (SAEC) algorithm that is appropriate for rapidly moving sources. The Proposed algorithm utilizes a modal covariance matrix from multiple frequency components instead of the multiple snapshots in a narrowband SAEC, and estimates the steering error by maximizing the wideband WVDR output power using a first-order Taylor series approximation of the modal steering vector in terms of the steering error. As such, the steering error can be compensated with short observation times. Several simulations using artificial and sea trial data are used to demonstrate the Performance of the proposed algorithm.

• Journal of the Korea Society for Simulation
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• v.20 no.4
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• pp.1-11
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• 2011

In the development phase of a torpedo, the effectiveness analysis is carried out to predict the performance and to learn how to use the torpedo. In order to obtain reliable data, it is required to model the tactical situation closely to the actual one. Because the submarine is a target of a lightweight torpedo, the anti-torpedo countermeasures of a submarine such as evasive maneuvering and TACM (Torpedo Acoustic Counter Measure) should be modeled in detail. In this paper, the evasive maneuvering is modeled reflecting the movement characteristics of the submarine. Furthermore various TACMs such as a floating-type decoy, a self-propelled decoy and jammers are also modeled. Then, effectiveness of a lightweight torpedo is measured and analyzed using the simulation program which is developed through the above modeling procedure.

• The Journal of the Acoustical Society of Korea
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• v.40 no.2
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• pp.109-120
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• 2021

This paper proposes the H∞ norm based data association gate method to apply robustly the data association gate of passive sonar automatic target tracking which is on non-linear targets in dense cluttered environment. For target tracking, data association method selects the measurements within validated gate, which means validated measuring extent, as candidates for the data association. If the extent of the validated gate in the data association is not proper or the data association executes under dense cluttered environment, it is difficult to maintain the robustness of target tracking due to interference of clutter measurements. To resolve this problem, this paper proposes a novel gating method which applies H∞ norm based bisection algorithm combined with 3-σ gate method under Gaussian distribution assumption and tracking error covariance. The proposed method leads to alleviate the interference of clutters and to track the non-linear maneuvering target robustly. Through analytic method and simulation to utilize simulated data of horizontal and vertical bearing measurements, improvement of data association robustness is confirmed contrary to the conventional method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.539-542
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• 2009

해군에서는 소나를 이용하여 수중 표적을 효과적으로 탐색하기 위한 소나운용전술을 개발하기 위해 노력하고 있다. 효율적인 소나운용전술 개발을 위해서는 먼저 다양한 운영전술에 대한 효과도를 분석할 수 있는 시뮬레이션 시스템이 필요하다. 시뮬레이션 시스템은 해양환경 정보, 자함 정보, 소나 정보, 그리고 수중표적의 정보를 매개변수로 입력받아 운용전술에 대한 시뮬레이션을 수행하며, 시뮬레이션의 진행에 따른 다양한 정보를 제공할 수 있어야 한다. 본 연구에서는 다양한 환경에서 수중표적에 대한 함정의 최적 탐색 전략을 평가할 수 있는 탐색효과도 분석용 시뮬레이션 시스템을 설계 개발하였다. 시뮬레이션 시스템은 다양한 형태의 해양상태를 반영할 수 있도록 소나방정식 및 탐지확률곡선을 이용하여 개발되었으며, 표적의 실제적인 행동패턴을 고려하여 여러 가지 형태의 기동 패턴을 시스템에 묘사하였다. 개발된 시스템은 앞으로 수중표적에 대한 효율적인 소나운용전술을 개발하고 발전시키는데 유용하게 사용될 수 있을 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.251-257
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• 2021

An underwater platform operating a passive sonar needs to acquire the target position to perform its mission. In an environment where sea-floor reflections exist, the position of a target can be estimated using the difference in the arrival time between the signals received through multipaths. In this paper, a method of localization for passive sonar is introduced, based on the EKF (Extended Kalman Filter) using the multipath time difference of arrival in underwater environments. TMA (Target Motion Analysis) requires accumulated measurements for long periods and has limitations on own-ship movement, allowing it to be used only in certain situations. The proposed method uses an EKF, which takes measurements of the time differences of the signal arrival in multipath environments. The method allows for target localization without restrictions on own-ship movement or the need for an observation time. To analyze the performance of the proposed method, simulation according to the distance and depth of the target was performed repeatedly, and the localization error according to the distance and water depth were analyzed. In addition, the correlation with the estimated position error was assessed by analyzing the arrival time difference according to the water depth.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2102-2104
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• 2002

Batch estimation 알고리듬은 수집된 표적에 대한 모든 정보들을 사용하여 상태변수의 초기값을 추정하게 되며 그 구간동안 표적이 일정한 속도로 움직이고 표적 음원의 주파수는 그 값이 항상 일정하다는 가정을 했다. 본 논문에서는 이러한 가정을 위배하는 표적 음원의 주파수 변화에 대해 대처하기 위한 각도와 주파수정보를 이용하는 Batch estimation 알고리듬과 각도정보만을 사용하는 Batch estimation 알고리듬의 경우를 표적 음원의 주파수 변화를 감지하여 스위칭 할 수 있는 방법에 대해 알아본다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.121-127
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• 2020

The small tracking radar targets the target in a real-time, fast-moving, fast-moving target against aircraft with a large RCS that is maneuvering at low speed and a small RCS aircraft maneuvering at high speed (fighters, drones, helicopters, etc.) It is a pulsed radar that detects and tracks. Performing a performance test on a tracking radar in a real environment is expensive, and it is difficult to quantitatively measure performance in a real environment. Describes the composition of the laboratory environment's comprehensive performance test facility and the main requirements and implementation of each configuration.Anechoic chambers to simulate the room environment, simulation target generator to simulate the signal of the room target, target It is composed of a horn antenna driving device to simulate the movement of a vehicle and a Flight Motion Simulatior (FMS) to simulate the flight environment of a tracking radar, and each design and implementation has been described.

• Journal of Advanced Navigation Technology
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• v.2 no.1
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• pp.34-42
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• 1998

An adaptive state and input estimator for the tracking of a target with unknown randomly switching input is developed. In modeling the unknown inputs, it is assumed that the input sequence is governed by semi-Markov process. By incorporating the semi-Markov probability concepts into the Bayesian estimation theory, an effective adaptive state and input estimator which consists of parallel Kalman-type filters is obtained. Computer simulation results reveal that the proposed adaptive estimator have improved tracking performance in spite of the unknown randomly switching input.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.04a
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• pp.153-153
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• 2000

최근 선진국들은 신규 워게임모형 개발시 장차전 개념을 반영하기 위하여 미래전자의 주요기능인 C4ISR 및 객체지향 기법을 적용하려고 노력하고 있다. 이러한 워게임 모형들은 현실과 같은 가상환경에서 합동작전을 모의할 수 있으며 전략, 작전 및 전술 수준을 모두 고려할 수 있고 지상전, 공중전, 해상전, 미사일전, 정보전 등 현대 전투개념을 모두 반영할 수 있도록 초대형 시뮬레이션 시스템으로 발전되고 있다. 본 고에서는 C4I 기능통합 및 연동화 모의 논리중에서 전략기동, 전술기동, 교전평가, 전략수송, 표적탐색, 미사일 판정을 위한 모의 기법과 초대형 시뮬레이션 시스템의 자료/명령 전달 구조 및 하드웨어/소프트웨어 사양, 구성 모듈등을 분석한다. 특히 현재 미 합참에서 개발중인 JWARS모형의 주요 객체들인 전투공간개체(BSE: Battle Space Entity), 아크-노드 네트워크, 화력 집중점(FCPs: Fire Concentration Points) 등을 살펴보고 현대전의 가장 큰 특징인 C4ISR/(Command, Control, Communication, Computer, Intelligence, Surveillance, Reconnaissance) 분야에서 표적탐지, 통신, 정보 모의 기법을 분석함으로써, 향후 한국적 여건에 적합한 분석모형 개발 방향을 제시하고자 한다.