• 한국전자파학회논문지
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• 제23권8호
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• pp.995-1001
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• 2012

본 논문에서는 다기능 레이더를 이용한 탄도탄 추적을 위해 알파-베타 필터, 칼만 필터, 탄도탄 추적 필터의 성능을 분석하였다. 제시된 필터들은 탄도탄의 궤적과 다기능 레이더의 신호처리기를 모의하는 시뮬레이터를 기반으로 시뮬레이션 되었다. 그 결과, 제안한 탄도탄 추적 필터의 성능이 알파-베타 필터에 비해 최대 75.3 %의 속도 오차 감소 효과가 있음을 확인하였다. 또한, 추적 초기화 이후에 제안한 필터가 칼만 필터보다 거리, 속도 오차가 작아 안정적인 성능을 보였다. 마지막으로 각도 추적에서도 전체 시나리오 구간에서 안정적인 동작을 확인하여 초고속 탄도탄 표적의 추적에 적합함을 입증하였다.

• 제어로봇시스템학회논문지
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• 제17권8호
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• pp.783-789
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• 2011

Target tracking performance improvement using multi-sensor data fusion is a challenging work. However, biases in the measurements should be removed before various data fusion techniques are applied. In this paper, a bias removing algorithm using measurement data from multi-radar tracking systems is proposed and evaluated by computer simulation. To predict bias estimation performance in various geometric relations between the radar systems and target, a system observability index is proposed and tested via computer simulation results. It is also studied that target tracking which utilizes multi-sensor data fusion with bias-removed measurements results in better performance.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.700-702
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• 2016

나로우주센터에서는 우주발사체의 비행임무 초기구간 동안에 발사체의 거리 및 속도정보를 획득하기 위해서 광학추적장비에 거리측정 도플러 레이더를 탑재하여 운용하고 있다. 본 논문은 광학추적장비의 MFCW(Multi Frequency Continuous Wave)방식과 FMCW(Frequency Modulation Continuous Wave)방식 도플러 레이더 구성과 거리측정 방법을 기술하였다.

• 한국군사과학기술학회지
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• 제14권3호
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• pp.517-523
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• 2011

The estimation filter in radar systems must track targets' position within low tracking error. In the Multi-Function Radar(MFR), ${\alpha}-{\beta}$ filter and Kalman filter are widely used to track single or multiple targets. However, due to target maneuvering, these filters may not reduce tracking error, therefore, may lost target tracks. In this paper, a target tracking filter based on particle filtering algorithm is proposed for the MFR. The advantage of this method is that it can track targets within low tracking error while targets maneuver and reduce impoverishment of particles by the proposed resampling method. From the simulation results, the improved tracking performance is obtained by the proposed filtering algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.99-99
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• 2000

An effect ive filter algorithm that can manage radar beam pointing efficiently is needed to track multi-target in the air. For effective beam management the filter has lobe good enough to predict future position of target and based on this filter output radar beam is control led to point toward the predicted target position in the air. In this paper, we investigate the ${\alpha}$-${\beta}$ filter known for its brief filter structure with the steady-state Kalman filter gain, the ruv filter, and the coordinate-transformed filter that can decouple the measurement noise variance.

• 한국군사과학기술학회지
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• 제14권1호
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• pp.106-113
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• 2011

This paper describes Data Acquisition & Analysis System(DAS) for analysis of the multi-function radar. There are various information - beam probing data, clutter map data, plot data, target tracking data, RT tracking data, radar signal processing data, interface data - this device saves. The most important thing of data analysis is that a researcher gets a view of the whole data. The DAS intergrates with all of the data and provides overall information on the time matters occur. This is very useful advantage for approaching the matter easily. System algorithms of multi-function radar are improved by using this advantage. As a result of, range blank region have fallen about 72% and it is able to keep track in jammer environment.

• 한국군사과학기술학회지
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• 제13권4호
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• pp.561-568
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• 2010

Instrumentation radar in a test range has an important role to measure target's TSPI(time, space, position, information). It is well known that it tracks a target stably using a beacon mode. But it may fail to track a target in a certain region using a beacon mode. In this paper, we modeled a simple missile shape similar to ATCMS with two beacon antenna and analyzed an antenna radiation pattern using MLFMM(Multi Level Fast Multipole Method) method. Using the analyzed result of the radiation pattern of the antenna and the attitude data of target, we simulated beacon tracking performance of an instrumentation radar. As a result of simulation, we showed that an instrumentation radar may lose the target because it tracks a area of the beacon antenna pattern.

• 전기학회논문지
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• 제63권11호
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• pp.1551-1558
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• 2014

We propose a multi-rate sensor fusion of vision and radar using Kalman filter to solve problems of asynchronized and multi-rate sampling periods in object vehicle tracking. A model based prediction of object vehicles is performed with a decentralized multi-rate Kalman filter for each sensor (vision and radar sensors.) To obtain the improvement in the performance of position prediction, different weighting is applied to each sensor's predicted object position from the multi-rate Kalman filter. The proposed method can provide estimated position of the object vehicles at every sampling time of ECU. The Mahalanobis distance is used to make correspondence among the measured and predicted objects. Through the experimental results, we validate that the post-processed fusion data give us improved tracking performance. The proposed method obtained two times improvement in the object tracking performance compared to single sensor method (camera or radar sensor) in the view point of roots mean square error.

• 한국전자파학회논문지
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• 제24권2호
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• pp.198-206
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• 2013

본 논문에서는 다기능 레이더의 추적 성능 개선을 위해 임무 우선 순위 선정을 위한 퍼지 추론 시스템 기반의 기법을 제안하였다. 제안한 기법은 추적 임무 수행 시 우선 순위 결정 트리를 구성하고, 퍼지 집합으로 추적 안정도, 위협도, 접근성을 선정하고, 퍼지 규칙을 통한 추적 임무의 우선 순위를 얻는 방식이다. 우선 순위를 높게 책정할 경우, 추적 주기를 변화시켜 추적의 정확도를 높일 수 있도록 설계하였다. 추적 성능 개선 효과를 입증하기 위해 기동 특성이 뚜렷한 표적 궤적을 생성하고, 제안된 기법을 적용한 경우와 적용하지 않은 경우를 시뮬레이션으로 비교 분석하였다.

• 한국군사과학기술학회지
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• 제14권3호
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• pp.405-413
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• 2011

Defense Systems Test Center in ADD supports increasingly various missile test requirements such as higher altitude event, multi target operation and low-altitude, high velocity target tracking. In this paper, we have proposed the development of instrumentation radar tracking status simulator based on virtual reality. This simulator can predict the tracking status and risk of failure using several modeling algorithms. It consists of target model, radar model, environment model and several algorithms includes the multipath interference effects. Simulation results show that the predict tracking status and signal are similar to the test results of the live flight test. This simulator predicts and analyze all of the status and critical parameters such as the optimal site location, servo response, optimal flight trajectory, LOS(Line of Sight). This simulator provides the mission plan with a powerful M&S tool to rehearse and analyze instrumentation tracking radar measurement plan for live flight test at DSTC(Defense Systems Test Center).