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Vision-Based Target Motion Estimation of Multiple Air Vehicles Using Unscented Information Filter
Kwangyul Baek,Hyochoong Bang 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This paper presents target motion estimation for multiple air vehicles. The motion of the airborne target is estimated by vision information from camera sensors fixed to the followers. Each camera sensors provides information of the target by three angles: an azimuth angle, an elevation angle, and a subtended angle. In the frame work of information filter, each follower estimates position, velocity and size of the target while communicating own information with other vehicles. The information filter is suitable for decentralized multiple sensor estimation. Due to nonlinear characteristic of vision-based estimation problem, an unscented information filter is applied to target motion estimator. The unscented information filter provides the accuracy and robustness by embedding the unscented transform of the sigma point filter into the frame work of the information filter. The local filter propagates the target state and covariance through a statistical linear error propagation and updates by linear combination of the local information contribution terms. The simulation results demonstrate the performance of the proposed target motion estimator using the unscented information filtering of the three followers.
ADS-B based Trajectory Prediction and Conflict Detection for Air Traffic Management
Kwangyul Baek,Hyochoong Bang 한국항공우주학회 2012 International Journal of Aeronautical and Space Sc Vol.13 No.3
The Automatic Dependent Surveillance Broadcast (ADS-B) system is a key component of CNS/ATM recommended by the International Civil Aviation Organization (ICAO) as the next generation air traffic control system. ADS-B broadcasts identification, positional data, and operation information of an aircraft to other aircraft, ground vehicles and ground stations in the nearby region. This paper explores the ADS-B based trajectory prediction and the conflict detection algorithm. The multiple-model based trajectory prediction algorithm leads accurate predicted conflict probability at a future forecast time. We propose an efficient and accurate algorithm to calculate conflict probability based on approximation of the conflict zone by a set of blocks. The performance of proposed algorithms is demonstrated by a numerical simulation of two aircraft encounter scenarios.
적응형 복합 분류 알고리즘을 이용한 초소형 전자소자 탐지 향상 기법
김광열(Kwangyul Kim),임정환(Jeonghwan Lim),김송강(Songkang Kim),조준경(Junkyung Cho),신요안(Yoan Shin) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.6C
본 논문은 지적재산권 보호를 위한 방안으로 적응형 알고리즘 기반의 초소형 전자소자 탐지 기법을 제안한다. 전자소자를 탐지하는 기본 원리는 분류기의 송신기에서 특정 기본 주파수의 전파가 은닉된 물체로 전파되면, 물체로부터 반사되어 수신기로 들어오는 2차 및 3차 고조파의 크기를 분류기가 비교함으로써 판별하게 된다. 하지만, 측정 과정에서 발생하는 잡음 및 전자파의 간섭으로 인해 분류의 성능이 저하되므로, 이러한 환경에서도 은닉된 전자소자를 적응적으로 판별하기 위해 Fuzzy c-Means 클러스터링 알고리즘과 k-Nearest Neighbor 분류 알고리즘을 복합적으로 이용하는 방안을 제시한다. 모의실험 결과, 제안 기법이 잡음 및 전자파 간섭 환경에서도 적응적으로 전자소자 잘 탐지할 수 있었으며, 이에 따라 지적재산권을 효율적으로 보호할 수 있을 것으로 기대된다. This paper proposes improved detection schemes for concealed micro-electronic devices using clustering and classification of radio frequency harmonics in order to protect intellectual property rights. In general, if a radio wave with a specific fundamental frequency is propagated from the transmitter of a classifier to a concealed object, the second and the third harmonics will be returned as the radio wave is reflected. Using this principle, we exploit the fuzzy c-means clustering and the k-nearest neighbor classification for detecting diverse concealed objects. Simulation results indicate that the proposed scheme can detect electronic devices and metal devices in various learning environments by efficient classification. Thus, the proposed schemes can be utilized as an effective detection method for concealed micro-electronic device to protect intellectual property rights.