• Journal of Institute of Control, Robotics and Systems
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• v.5 no.6
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• pp.764-776
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• 1999

In this paper, a tracking algorithm for a maneuvering single target in the presence of multiple data from multiple sensors is investigated. Allowing individual sensors to function by themselves, the estimates from individual sensors on the same target are fused for the purpose of improving the state estimate. The filtering method adopted in the local sensors is the variable dimensional filter with input estimatio technique, which consists of a constant velocity model and a constant acceleration model. A posteriori probability for the maneuvering hypothesis is newly derived. It is shown that the relation function of the a posteriori probability is a function of only the covariance of the fused estimates. Simulation results are provided.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.7
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• pp.530-535
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• 2016

In this paper, the TTSE (Target size and Triangulation-based target Size Estimator) algorithm is proposed to estimate static target size in an imaging environment. The target size information is an important factor for accurate imaging target tracking. However, the imaging sensor cannot generate distance between the missile and target to calculate the target size. To overcome the problem, we propose the TTSE algorithm, which is based on target size and triangulation. The proposed method performance is tested in a target intercept scenario. The experiment results show that the proposed algorithm has better performance than the conventional algorithm (ET-TSE) for accurate CCD target size estimation.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.10
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• pp.917-923
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• 2015

In this paper, the TSE (Triangulation based target Size Estimator) algorithm is presented to estimate static target size at IIR (Imaging Infrared) environment. The size information is important factor for accurate IIR target tracking. But the IIR sensor can't generate distance between missile and target to calculate target size. In order to overcome the problem, we propose TSE algorithm which based on triangulation measurement. The performance of proposed method is tested at target intercept scenario. The experiment results show that the proposed algorithm has suitable performance for the accurate static target size estimating.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.239-242
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• 2003

모든 생명체는 유전자의 최종 산물인 다양한 단백질들이 각각의 복잡한 기능을 수행함과 동시에 그들 사이의 긴밀한 상호작용에 의해 생명을 유지한다. 도메인 (Domain)은 단백질의 기능적 단위로서 한 개 단백질은 최대 수십 개의 도메인을 가지는데 이들 도메인에 대한 정보는 단백질의 기능을 예측하는데 도움이 될 수 있다. 본 논문에서는 종양을 억제하는 기능을 가지는 단백질과 그러한 기능을 가질 것으로 추정되어지는 단백질의 아미노산 서열, 또 기능이 밝혀지지 않은 미지의 아미노산 서열을 가지고 이미 밝혀져 있는 도메인 서열과 비교 검색하여 이들 사이에 일치하는 도메인을 통하여 표적 단백질의 기능 동정에 관한 연구에 도움이 되며, 또한 기능이 밝혀지지 않은 아미노산 서열의 도메인을 검색하여 새로운 기능을 예측함으로써 다른 실험적 방법과 비교하여 시간과 비용을 절약할 수 있는 효과적인 방법을 얻었기에 제안하고자 한다.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.10
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• pp.788-796
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• 2016

Bearing and frequency measurements of TMA (Target Motion Analysis) in passive line array SONAR have lower bearing rate and frequency doppler, and are not detected or tracked continuously because of various ocean environments. This is a main reason to effect the TMA performance and it takes a long time to get TMA solutions. We propose the bearing and frequency TMA(BFTMA) using accumulative batch estimation to solve the TMA problem of line array passive SONAR. The accumulative batch estimation structure is based on MLE (Maximum Likelihood Estimation) but used accumulative measurements. The accumulative batch estimation is applied for the BFTMA with nonlinear Kalman filter to estimate the target range, speed and course. Simulation and sea data analysis were carried out to verify the performance and applicability of the proposed techniques.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.199-202
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• 2002

This paper introduces the near field shading beamformer using widely known Chebyshev and Hanning window in the field of digital signal processing. The proposed shading beamformer improves the estimation of range as well as azimuth angle of targe residing in near field. A series of sensor weighting values are calculated from the FFT operation of given shading functions in time domain. This paper verifies the performance of the focused beamformer having the proposed shading sensor weights which are used to detect the range of target. Throughout computer simulations this paper exploits the performance improvement of the proposed shading beamformer as varying the frequency band of the received radiated signal along the non-uniform array.

• Journal of the Korea Institute of Military Science and Technology
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• v.7 no.2 s.17
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• pp.22-31
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• 2004

In this paper, the measurements preprocessing algorithm for the fading of bearing and frequency measurements is proposed, which can improve the performance of BFTMA(Bearing and Frequency Target Motion Analysis). The fading and detection relation between bearing and frequency are rigorously established for measurements preprocessing, and BFTMA can be carried out the estimation of target motion by using measurements preprocessing. Batch estimation with bearing and frequency using the proposed algorithm can be applied to estimate the initial target states despite of the fading of frequency measurement. Simulation results show that BFTMA using the proposed measurements preprocessing has superior estimation performance, compared with batch estimation using only bearing measurements.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.3
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• pp.98-109
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• 2006

Fire control system(FCS) errors can be classified as hardware errors, filter prediction errors, effective ballistic function errors, and aiming errors. Among these errors, the filter prediction errors are the most significant error sources. To reduce them, a target future position calculation method using the acceleration estimate is suggested and it is compared with the constant velocity target prediction method. Simulation results show that the suggested method has better performance than the constant velocity prediction method. Target tracking algorithm is established with multiple target tracking filters based on IMM structure.

• Electronics and Telecommunications Trends
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• v.21 no.2 s.98
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• pp.74-87
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• 2006

최근 사회 전반적으로 급격히 진행되고 있는 디지털 컨버전스 트렌드의 한 모습으로등장한 RFID/USN의 급속한 이용과 관련한 이용자들의 이용행태와 서비스 활성화를위한 방향을 분석 전망한다. 이를 분석함에 있어 필수적으로 요구되는 RFID/USN의 개념, 서비스 특징 및 국내외 산업동향을 분석하고 관련 응용서비스의 이용과 관련하여 예비 이용자들이 어떤 행태를 보일 것인지 분석하고 전략적 시사점을 도출한다. 이를 위하여 이용자들의 이용행태 분석과 관련하여 예비 이용자에 대하여 설문조사를 실시하였다. 조사내용은 RFID/USN 응용서비스 활용수준, 분야별 이용 현황, 만족도, 이용의 문제점, 이용의향 및 수용도, 관련 비용 지불 정도 및 수용가격, 이용시기 및 용도, 지원 육성 분야 등이다. 또한 응용서비스 활용정도가 상대적으로 높은 집단에 대하여 표적 분석을 통하여 잠재시장에 대하여 추정 분석하고, 향후 응용서비스 활성화를 위한 시사점과 사업화 방향 및 정책 추진방향을 도출한다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2085-2087
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• 2003

A new interacting multiple model (IMM) method based on intelligent input estimation (IIE) is proposed for tracking a maneuvering target. In the proposed method, the acceleration level of each sub-filter is determined by IIE using the fuzzy system, which is optimized by the genetic algorithm (GA). The tracking performance of the proposed method is compared with those of the input estimation (IE) technique and the adaptive interacting multiple model (AIMM) method in computer simulations.