• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.329-331
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• 2016

일반적으로, 비행 표적의 궤적을 예측하기 위해 회귀분석이 사용되어왔다. 그러나 이 방법은 표적이 매우 다이내믹한 움직임을 보일 경우에는 오차가 크다는 한계가 있다. 이러한 문제를 해결하기 위해 본 논문에서는 다양한 수식을 생산해 내는 유전자 알고리즘을 이용하여 비행 표적의 다음 궤적을 예측해 내는 방법을 제안한다. 유전자 알고리즘을 통해 생산된 예측식을 토대로 비행 표적의 궤적을 3D 형태로 시각화 하였으며, 실제 관측 데이터와 예측된 데이터의 오차를 통해 정확도를 검증하였다.

• The Journal of the Acoustical Society of Korea
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• v.15 no.6
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• pp.104-109
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• 1996

In passive sonar system, frequency lines generated by underwater target are very important for detection, tracking and classification. In this paper, the extraction method of unstable frequency line from the time samples of the radiated noise of underwater target is studied. As unstable frequency line is time varying, an extended Kalman filter algorithm which is desirable for nonlinear system is applied to extract unstable frequency line. The proposed method shows good extraction of unstable frequency line by application of simulated signal and real target.

• Korean Journal of Remote Sensing
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• v.33 no.5_1
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• pp.547-557
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• 2017

In this paper, a new spectral unmixing based target detection algorithm is proposed which adopted Iterative Error Analysis as a tool for extraction of background endmembers by using the target spectrum to be detected as initial endmember. In the presented method, the number of background endmembers is automatically decided during the IEA by stopping the iteration when the maximum change in abundance of the target is less than a given threshold value. The proposed algorithm does not have the dependence on the selection of image endmembers in the model-based approaches such as Orthogonal Subspace Projection and the target influence on the background statistics in the stochastic approaches such as Matched Filter. The experimental result with hyperspectral image data where various real and simulated targets are implanted shows that the proposed method is very effective for the detection of both rare and non-rare targets. It is expected that the proposed method can be effectively used for mineral detection and mapping as well as target object detection.

• The Journal of the Acoustical Society of Korea
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• v.23 no.3
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• pp.214-220
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• 2004

A computationally efficient algorithm is presented for 3-D near-field source localization using a uniform circular away (UCA). Algebraic relations are demonstrated between the incident angles (elevation angle and azimuth angle) under the far-field assumption and the actual near-field location (range. elevation angle, and azimuth angle). Using these relations as paths to follow to the peak of the 3-D MUSIC spectrum, the proposed algorithm replaces the 3-D search required in the conventional 3-D MUSIC with a 1-D path following after a 2-D initialization. thereby reducing the computational burden.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.87-90
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• 2016

현재 한국 군부대에서 사용되고 있는 표적구동장치는 1990년도에 만들어진 재래식 장비로서 노후화 및 부품교체 난제로 인하여 지속적인 시스템의 오류와 이에 따른 장비 가동률 저하 등의 문제로 실전적인 사격 훈련이 어렵다. 이에 본 연구에서는 보다 효과적인 훈련을 진행하고자 복합 구동 표적장치를 개발하였다. 본 연구에서 개발된 복합 구동 표적장치는 Up-down, Swing, Turn, Rotary 방식의 표적 구동을 원격으로 제어하여 다양한 사격 및 전술 훈련 적용 가능하도록 제작되었으며, 또한 사격진행 통제 결과를 통제관 혼자서 총괄 운용이 가능한 모니터링 시스템을 구축하였다. 그리고 현재 각 부대에 설치되어 있는 표적구동장치 및 전술훈련 컨트롤러는 유선을 통한 시리얼통신 및 중앙 분배식 전원공급시스템으로서 운영설비를 위하여 과도한 배관배선 등의 공사가 별도로 시행되어야 하는 문제점이 있다. 따라서 본 연구에서는 이러한 문제점을 해결할 수 있도록 무선 통신시스템방식을 적용하여 다양한 훈련지역에 호환 적용될 수 있는 장비를 개발함으로써 훈련장 시설건립을 위한 부담을 줄이고, 운영의 극대화를 확보할 수 있도록 경제적, 기술적 효과를 추구하였다.

• The Journal of the Acoustical Society of Korea
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• v.34 no.6
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• pp.487-492
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• 2015

A short-range underwater target detection and identification techniques using mid- and high-frequency bands have been highly developed. However, nowadays the long-range detection using the low-frequency band is requested and one of the most challengeable issues. The waveform inversion technique is widely used and the hottest technology in both academia and industry of the seismic exploration. It is based on the numerical analysis tool, and could construct more than a few kilometers of the subsurface structures and model-parameters such as P-wave velocity using a low-frequency band. By applying this technique to the underwater acoustic circumstance, firstly application of underwater target detection is verified. Furthermore, subsurface structures and it's parameters of the war-field are well reconstructed. We can confirm that this technique greatly reduces the false-alarm rate for the underwater targets because it could accurately reproduce both the shape and the model-parameters at the same time.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.04a
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• pp.148-152
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• 2000

본 연구는 사용자 인터페이스를 고려한 시뮬레이션 방법을 이용한 단거리 미사일시스템의 성능 평가모델의 연구이다. 주요 접근 방법으로 먼저 시스템성능산정을 위한 시뮬레이션 방법을 제시하였으며 이는 관련 Data를 수집하고 이로부터 미사일의 폭발지점을 산정하고 표적의 피해산출을 위한 방법과 종합표적살상확률을 산정하는 방법 등을 포함하였다. 다음 단계로 사용자를 위한 그래픽 사용자 인터페이스(Graphic User Interface)를 고려한 입출력과정을 시각화환경으로 구현하였다. 본 연구를 위하여 전산프로그램을 개발하고 가상 Data를 이용한 예를 들고 결과를 보였다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.1
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• pp.74-79
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• 2012

Scalar quantification of the angular prediction error covariance matrix is considered for characterizing tracking performances in phased array radar tracking. Specifically, the maximum eigenvalue and the trace of the covariance matrix are examined in terms of consistency in parameterizing the probability of detection, taking antenna beam-pointing losses into account, and it is shown numerically that the latter is more consistent.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.4
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• pp.120-128
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• 2012

In this paper, we propose a modified iterative pre-whitening projection statistics (MIPPS) scheme for improving multi-target detection performance in non-homogeneous clutter environments. As a non-homogeneity detection (NHD) technique of space-time adaptive processing algorithm for airborne radar, the MIPPS scheme improves the average detection probability of weak target when multiple targets with different reflection signal intensities are located in close range. Numerical results show that the conventional NHD schemes suffers from the masking effect by strong targets and clutters and the proposed MIPPS scheme outperforms the conventional schemes with respect to the average detection probability of the weak target at low signal-to-clutter ratio.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.3
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• pp.52-58
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• 2009

If a moving target has a linear characteristics, the Kalman filter can estimate relatively accurate the location of a target, but this performance depends on how the dynamic status characteristics of the target is accurately modeled. In many practical problems of tracking a maneuvering target, a simple kinematic model can fairly accurately describe the target dynamics for a wide class of maneuvers. However, since the target can exhibit a wide range of dynamic characteristics, no fixed SKF(Simple Kalman filter) can be matched to estimate, to the required accuracy, the states of the target for every specific maneuver. In this paper, a new AKF(Active Kalman filter) is proposed to solve this problem The process noise covariance level of the Kalman filter is adjusted at each time step according to the study result which uses the neural network algorithm. It is demonstrated by means of a computer simulation that the tracking capability of the proposed AKF(Active Kalman filter) is better than that of the SKF(Simple Kalman Filter).