• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권4호
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• pp.263-269
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• 2012

The ability to characterize feature objects from radar readings is often limited by simply looking at their still frame reflectivity, differential reflectivity and differential phase data. In many cases, time-series study of these objects' reflectivity profile is required to properly characterize features objects of interest. This paper introduces a novel technique to automatically track multiple 3D radar structures in C,S-band in real-time using Doppler radar and profile their characteristic reflectivity distribution in time series. The extraction of reflectivity profile from different radar cluster structures is done in three stages: 1. static frame (zone-linkage) clustering, 2. dynamic frame (evolution-linkage) clustering and 3. characterization of clusters through time series profile of reflectivity distribution. The two clustering schemes proposed here are applied on composite multi-layers CAPPI (Constant Altitude Plan Position Indicator) radar data which covers altitude range of 0.25 to 10 km and an area spanning over hundreds of thousands $km^2$. Discrete numerical simulations show the validity of the proposed technique and that fast and accurate profiling of time series reflectivity distribution for deformable 3D radar structures is achievable.

• 항공우주기술
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• 제11권2호
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• pp.171-181
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• 2012

항공관제시스템을 구성하는 하부 시스템중 하나인 감시자료처리시스템(SDP, Surveillance Data Processor)은 항공 감시 레이더 등 다양한 감시 센서로부터 감시자료를 전달 받아 항공기의 항적을 추적하는 시스템으로서, SDP의 항적 추적 성능은 항공기의 안전 운항에 직접적인 영향을 미친다. 따라서 개발과정에서 SDP의 요구 성능에 대한 검증은 필수적이며, 특히 대표적인 다중 센서 다중 타겟 추적(Multi-Sensor Multi-Target Tracking)시스템으로서 다양한 타겟 추적 방법이 존재함에 따라 정량적인 추적 정확도 성능 평가가 중요하게 여겨지고 있다. 본 연구에서는 현재 한국항공우주연구원에서 개발 중인 SDP의 항적 추적 성능 검증을 위한 요구 성능 정의, 테스트 환경 구축, 테스트 결과에 대해 정리하였다.

• 한국인터넷방송통신학회논문지
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• 제20권2호
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• pp.87-96
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• 2020

다기능 레이다는 자원관리를 통해 표적을 탐색함과 동시에 추적한다. 한정된 자원에서 표적이 많을수록, 추적 갱신률이 빠를수록 추적에 할당되는 자원이 증가하여 탐색 자원 할당량이 감소하게 된다. 탐색 자원이 감소하면 표적의 탐지 재방문 시간, 포착 기회 수, 추적 등의 여러 레이다 탐색 성능이 저하된다. 자함 방어와 같은 복합전술 상황에서 탐지성능 저하는 유도탄의 방어 확률을 감소시킨다. 본 논문에서는 이러한 복합적인 전술상황에서의 자함 방어 분석을 위해 다기능 레이다를 탑재한 자함 모델, 레이다 모델, 표적 모델, 방어 모델 등을 구성하여 M&S도구를 개발하였다. 이를 통해 다양한 표적 환경 및 추적 성능에 따른 자함 방어의 영향성을 복합적으로 분석하였다.

• 제어로봇시스템학회논문지
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• 제22권2호
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• pp.133-138
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• 2016

This paper describes the track initiation and target-tracking filter for ship tracking in a marine environment by using Light Detection And Ranging (LiDAR). LiDAR with three-dimensional scanning capability is more useful for target tracking in the short to medium range compared to RADAR. LiDAR has rotating multi-beams that return point clouds reflected from targets. Through preprocessing the cluster of the point cloud, the center point can be obtained from the cloud. Target tracking is carried out by using the center points of targets. The track of the target is initiated by investigating the normalized distance between the center points and connecting the points. The regular track obtained from the track initiation can be maintained by the target-tracking filter, which is commonly used in radar target tracking. The target-tracking filter is constructed to track a maneuvering target in a cluttered environment. The target-tracking algorithm including track initiation is experimentally evaluated in a sea-trial test with several boats.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.1259-1262
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• 1998

This paper introduced a scheme for finding the relationships between the measurements and tracks in multi-target tracking (MTT). We considered the relationships between targets and measurements as MRF and assumed a priori as a Gibbs distribution. An energy function is defined over the measurement space, as accurately as possible so that it may incorporate most of the important natural constraints. To find the minimizer of the energy function, we derived a new equation of closed form.

• 대한기계학회논문집A
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• 제29권1호
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• pp.139-144
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• 2005

A vehicle cruise control algorithm using an Interacting Multiple Model (IMM)-based Multi-Target Tracking (MTT) method has been presented in this paper. The vehicle cruise control algorithm consists of three parts; track estimator using IMM-Probabilistic Data Association Filter (PDAF), a primary target vehicle determination algorithm and a single-target adaptive cruise control algorithm. Three motion models; uniform motion, lane-change motion and acceleration motion. have been adopted to distinguish large lateral motions from longitudinal motions. The models have been validated using simulated and experimental data. The improvement in the state estimation performance when using three models is verified in target tracking simulations. The performance and safety benefits of a multi-model-based MTT-ACC system is investigated via simulations using real driving radar sensor data. These simulations show system response that is more realistic and reflective of actual human driving behavior.

• 융합신호처리학회논문지
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• 제1권2호
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• pp.138-144
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• 2000

본 논문은 레이더 시스템에서 추적 제적을 갱신하기 위해서 측정값을 할당할 때의 관계를 결합 행렬식으로 표현하여 찾는 최적기법을 연구한다. 이를 위하여 클러터의 분포를 Gibbs의 분포로 가정하고서 마코프 랜덤필드를 이용하여 관계식을 유도하였다. 유도된 식은 MAP 추정기 형태를 갖고 이를 계산하기 위하여 제한사항을 고려한 Lagranglan 방법을 사용하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 추계학술대회
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• pp.696-701
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• 2004

A vehicle cruise control algorithm using an Interacting Multiple Model (IMM)-based Multi-Target Tracking (MTT) method has been presented in this paper. The vehicle cruise control algorithm consists of three parts; track estimator using IMM-Probabilistic Data Association Filter (PDAF), a primary target vehicle determination algorithm and a single-target adaptive cruise control algorithm. Three motion models; uniform motion, lane-change motion and acceleration motion, have been adopted to distinguish large lateral motions from longitudinal motions. The models have been validated using simulated and experimental data. The improvement in the state estimation performance when using three models is verified in target tracking simulations. The performance and safety benefits of a multi-model-based MTT-ACC system is investigated via simulations using real driving radar sensor data. These simulations show system response that is more realistic and reflective of actual human driving behavior.

• 한국군사과학기술학회지
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• 제13권4호
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• pp.673-682
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• 2010

This paper describes and analyzes a various generation methods of the mutually orthogonal polyphase sequences with low cross-correlation peak sidelobe and low autocorrelation peak sidelobe levels. The mutual orthogonality is the key requirement of multi-static or MIMO(Multi-Input Multi-Output) radar systems which provides the good target detection and tracking performance. The polyphase sequences, which are generated by SA(Simulated Annealing) and GA(Genetic Algorithm), have been analyzed with ACF(Autocorrelation Function) PSL(Peak Sidelobe Level) and CCF(Crosscorrelation Function) level at the matched filter output. Also, the ambiguity function has been introduced and simulated for comparing Doppler properties of each sequence. We have suggested the phase selection rule for applying multi-static or MIMO systems.

• 한국항공우주학회지
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• 제41권7호
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• pp.577-587
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• 2013

본 논문은 항공기용 다기능 레이더의 통합적 자원관리를 수행하는 자원관리자와 레이더/환경 시뮬레이터 구축에 대한 연구 결과를 설명한다. 레이더/환경 시뮬레이터는 항공기 레이더의 표적 탐지/측정 모델, 탑재된 레이더의 좌표변환을 고려한 추적 필터 및 효율적인 표적 생성 알고리듬을 포함한다. 항공기 레이더 자원관리 알고리듬의 각 모듈별 구조와 기능을 도출하고, 구축된 레이더/환경 시뮬레이터를 통해 시험 검증하였다.