• 한국컴퓨터정보학회논문지
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• 제22권7호
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• pp.47-54
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• 2017

Recently, correlation filter based trackers have shown excellent tracking performance and computational efficiency. In order to enhance tracking performance in the correlation filter based tracker, search area which is image patch for finding target must include target. In this paper, two methods to discriminatively represent target in the search area are proposed. Firstly, search area location is estimated using pyramidal Lucas-Kanade algorithm. By estimating search area location before filtering, fast motion target can be included in the search area. Secondly, we investigate multi-channel Local Edge Pattern(LEP) which is insensitive to illumination and noise variation. Qualitative and quantitative experiments are performed with eight dataset, which includes ground truth. In comparison with method without search area estimation, our approach retain tracking for the fast motion target. Additionally, the proposed multi-channel LEP improves discriminative performance compare to existing features.

• 한국음향학회지
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• 제15권1호
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• pp.34-39
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• 1996

표적 상태추정은 소나 신호처리의 중요한 문제이다. 본 연구에서는 모노펄스 소나의 표적정보를 이용한 표적 상태추정에 공분산 해석기법을 적용하여 상태추정 성능을 향상시켰다. 앞서 개발된 MOST신호 합성기법으로 모의 표적신호를 발생시켜 신호대 잡음비의 변화에 따른 조건에서 제시된 기법의 성능을 평가하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.53.6-53
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• 2001

In this paper, we are concerned with a tracking filter algorithm which can track a maneuvering target. Among the novel tracking filter algorithms, the input estimation (IE) filter can be summarized as estimating the unknown maneuver input and compensating the state according to the estimated input, and the variable dimension filter (VDF) can be summarized as detecting the maneuver of target and changing the dimension of the target dynamics to accomodate the maneuver of target They have some goods and bads with respect to each other. The variable dimension filter with input estimation (VDIEF) is constructed by combining the two filtering algorithms. However, it requires too much computational burden while it has good performance. We propose another variable dimension with input estimation ...

• 대한전기학회논문지
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• 제45권1호
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• pp.139-145
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• 1996

The input estimation method estimates maneuvering input acceleration in order to track a maneuvering target. In this paper, the optimal input estimator is derived by choosing the MAP hypothesis among maneuvering input transition hypotheses under the assumption that a maneuvering input acceleration is a semi-Markov process. The optimal input estimation method cannot be realized because the optimal filter should consider every maneuver onset time hypothesis from filter starting time to current time which increase rapidly. Hence the suboptimal filter using a sliding window is proposed. Since the proposed method can consider all hypotheses of input transitions inside the window, it is general enough to include Bogler's input estimation method. Simulation results show, however, that we can obtain a good performance even when the filter considering just one input transition in the window is used. (author). 9 refs., 3 figs., 1 tab.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.426-429
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• 1997

This paper proposes a robust H$_{\infty}$ tracking filter to improve the unacceptable target tracking performance for systems with parameter uncertainties. Also, we use here the input estimation approach to account for the possibility of maneuver. Simulation results show that the robust H$_{\infty}$ tracking filter which is proposed here to solve the systems with all system parameter uncertainties, has a good tracking performance for a maneuvering target tracking problem.m.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.108-113
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• 1991

In this paper, an improved method for tracking maneuvering target is proposed. The proposed tracking filter is constructed by combining the input estimation approach with the variable dimension filtering approach. In this approach, the filter also provides the estimated time instant at which target starts maneuver, when the target maneuver is detected. Using this estimated maneuvering time, the maneuver input is estimated and the tracking system changes to the maneuver model. Simulations are performed to demonstrate the efficiency of the proposed tracking filter.

• 제어로봇시스템학회논문지
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• 제21권1호
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• pp.52-58
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• 2015

In this paper, The ET-MBEF algorithm is presented for CCD imaging seeker. At the imaging seeker, target size information is important factor for accurate tracking. The MBEF algorithm was proposed to estimate target size at IIR seeker. However, the MBEF algorithm can't be applied at CCD imaginary target size estimation. In order to overcome the problem, we propose ET-MBEF algorithm which based on ET (Edge Template) and MBEF algorithm. The performance of proposed method is tested at target intercept scenario. The experiment results show that the proposed algorithm has the accurate target intercept performance.

• 한국전자파학회논문지
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• 제28권2호
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• pp.139-146
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• 2017

본 논문에서는 2채널 displaced phase center antenna(DPCA) 기반의 SAR-GMTI 시스템에서 지상이동 표적의 속도 정보를 추정하는 알고리즘을 제안한다. 제시된 알고리즘에서는 이동표적의 across-track 속도는 기존의 along-track interferometry(ATI) 기법을 이용하여 추정이 가능하다고 가정한 후 표적의 along-track 속도를 추정하는 방법을 제시한다. 이를 위해 기존 이동표적 구조를 변형하여 이동표적 속도를 영으로 만들고, 이를 레이다 속도에 반영하여 레이다 속도가 변화된 새로운 기하학적 구조를 얻는다. 이후 합성 개구면(synthetic aperture) 내의 subaperture 신호에 대한 푸리에 변환을 통해 공간 주파수 중심점 위치를 이용하여 표적의 along-track 속도를 추정한다. 시뮬레이션을 통해 제안한 알고리즘의 속도 추정 성능을 검증하고, 또한 추정된 속도가 보상되어 이동표적 영상의 해상도 및 SINR이 개선됨을 보인다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.1768-1769
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• 2011

The nonlinear estimation and the pseudo-linear estimation are used to treat the target localization in sensor network which provides range difference of arrival (RDOA) measurements. It is known that the nonlinear estimation has sensitive problem for the initial estimate and the pseudo-linear estimation has a large estimation error. The QCLS method is the typical estimator of the methods for pseudo-linear estimation. However the estimate by using the QCLS method includes the estimation error because the first stage of two estimation processes of the QCLS method causes the biased estimation error. Therefore we propose a instrumental variables(IV) method for minimizing the estimation error of the first stage. The simulation shows that the performance of the proposed method is superior to the QCLS method.

• 한국정보전자통신기술학회논문지
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• 제7권2호
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• pp.111-116
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• 2014

본 연구는 무선통신에서 선형 배열 안테나를 이용하여 원하는 목표물의 도래 방향을 추정 한다. 도래방향 추정은 수신기 배열 안테나에 입사하는 신호들 중에서 원하는 신호를 추정하는 것이다. 본 연구에서는 도래방향 추정을 위한 최적 가중치와 고 분해능 적응 빔 형성 알고리즘과 회소행렬을 사용하여 목표물에 대한 도래방향을 추정 정확도를 향상 시켰다. 모의실험을 통하여 목표물 도래 방향 추정에서 기존의 적응 빔 형성 알고리즘과 제안 알고리즘의 성능을 비교 분석 하였다. 목표물 도래 방향 추정에서 제안한 알고리즘이 기존의 빔형성 알고리즘보다 도래 방향추정 능력이 향상되었다.