• 제어로봇시스템학회논문지
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• 제5권7호
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• pp.827-835
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• 1999

In this paper, a dead reckoning navigation system for differential drive mobile robots is presented. The navigation system consists of two incremental encoders and a gyroscope. We have built a third order polynomial function for compensating the nonlinear scale factor errors of the gyroscope. We utilize an indirect Kalman filter that feeds back estimated errors to the main navigation system. Also, the observability of the filter is analyzed in order to systematically evaluate the filter's performance. Experimental results show that the proposed navigation system provides a reliable position and heading angle by mutually compensating the encoder and the gyroscope errors. The proposed filter also reduces the computational burden and enhances the navigation system's reliability. The observability analysis confirms the characteristics of inevitably unbounded position error growth in dead reckoning navigation systems.

• 수산해양기술연구
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• 제20권2호
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• pp.105-111
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• 1984

추측항법과 Loran C 항법을 결합한 Hybrid 항법의 정도를 평가하기 위하여, 군산수산전문대학 실습선 전북 401, 403 호에 설치되어 있는 Hybrid항법장치를 이용하여 1982년 7월부터 1983년 6월 사이에 한국서해안 해역에서 실선관측을 행하여 그 측위의 정도를 Radar 위치와 비교.검토한 결과는 다음과 같다. 1. 9970, 5970 Chain의 Loran C 시간차의 표준편차는 각각 약 0.21$\mu$s, 약 0.06$\mu$s로 5970 Chain의 시간차 변동이 9970 Chain보다 적었다. 2. Hybrid위치와 Loran C 위치는 Radar 위치와의 편위거리가 각각 약 0.4 mile, 약 0.51 mile로서 Hybrid 항법이 Loran C 항법보다 정도가 더 높았다. 3. Hybrid 위치와 Loran C의 계산기 simulation 위치는 Radar 위치와의 위치거리가 각각 0.4 mille, dir 0.98 mile로 Hybrid 항법이 Loran C의 계산기 simulation 위치보다 정도가 더 높았으며, 추측위치의 미소한 변동에 대한 Loran C의 변위량을 보정하면 Loran C의 계산기 simulation 위치의 정도도 더 높일 수 있음을 알 수 있었다.

• 해양환경안전학회지
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• 제24권5호
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• pp.504-510
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• 2018

해양사고는 주로 충돌과 좌초에 의한 것으로 인적과실이 원인이다. 한국형 e-Navigation 사업은 인적과실에 의한 해양사고 저감 및 초고속 해상무선통신(LTE-Maritime)의 구축 방안을 마련하고 있다. 그에 따른 사고취약선박 모니터링 지원 서비스(SV10)는 육상에서 수집한 선박의 위치정보를 기반으로 선박의 충돌 좌초 위험도를 평가하여 선박이 위험상황을 인식할 수 있도록 정보를 제공하고 해양사고 발생 시 육상에서 조기 대응할 수 있도록 실시간 선박 위치 및 위험상황 정보를 유관기관과 공유하는 서비스이다. 본 연구에서는 중앙해양안전심판원에서 제공된 해양사고 통계연보 및 재결서를 분석하여 SV10 서비스로 저감될 수 있는 해양사고 비율을 확인하였다.

• 한국군사과학기술학회지
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• 제24권6호
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• pp.577-590
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• 2021

In this paper, we theoretically analyzed the self-alignment/navigation performance in the accelerometer resonance state generated by dither motion of ring laser gyroscope in LINS and verified it through simulation. As a result of analysis, it is confirmed that the amplitude of the accelerometer measurement amplified in the accelerometer resonance state is decreased in the process of sampling per the navigation calculation period and that frequency is changed by the aliasing effect too. It was also analysed that the attitude error in self-alignment is determined by the amplitude/frequency of the accelerometer measurement, the gain of the self-alignment loop, and the velocity and position error in the navigation is determined by the amplitude/frequency/phase error of the accelerometer measurement. This analysis and simulation results show that the self-alignment and navigation performance is not be degraded only when the amplification factor of the accelerometer measurement in the accelerometer resonance state is 3 or less

• 한국군사과학기술학회지
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• 제9권1호
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• pp.5-12
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• 2006

This study describes an SDINS/GPS/ZUPT integration algorithm for land navigation systems. The SDINS error can be decoupled in two parts. The first part is the the Schuler component which does not depend on object motion parameters, and the other is the Non-Schuler part which depends on the product of object acceleration and azimuth error. Azimuth error causes SDINS error in proportion to the traversed distance. The proposed system consists of a GPS/SDINS integration system and an SDINS/ZUPT integration system, which are both realized by an indirect feedforward Kalman filter. The main difference between the two is whether the estimate includes the Non-Schuler error or not, which is decided by the measurement type. Consequently, subtracting GPS/SDINS outputs from SDINS/ZUPT outputs provide the Non-Schuler error information which can be applied to improving azimuth accuracy. Simulation results using the raw data obtained from a van test attest that the proposed SDINS/GPS/ZUPT system is capable of providing azimuth improvement.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.61.2-61
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• 2001

The purpose of the initial alignment of a SDINS is to get a coordinate transformation matrix from the body frame to the navigation frame. The initial alignment is one of the most important processes in the navigation system since its error has a large influence on the navigation solution. In this paper, a real-time initial alignment algorithm for the SDINS is developed using the Kalman filter. The steady state error analysis is performed for the developed Kalman filter technique and the gyrocompass loop method. The performance of the developed alignment method is compared with the gyrocompass loop method through the real-time alignment experiments.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2016년도 춘계학술대회
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• pp.302-304
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• 2016

The purpose of this paper is to draw comparison between the performance of ${\alpha}-{\beta}-{\gamma}$ filter and Kalman filter of a tracking module for ARPA system on board high dynamic warship. The comparison is based on the filters' capability to reduce residual error and maintain a stable transient response. The residual error is computed from the difference between the observed the predicted positions for the entire tracking period. The results indicate that the Kalman filter has a higher tracking accuracy compared to the optimal ${\alpha}-{\beta}-{\gamma}$ filter. However, both filters have a similar transient response.

• 한국해양공학회지
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• 제18권4호
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• pp.33-39
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• 2004

This paper presents a hybrid underwater navigation system for unmanned underwater vehicles, using an additional range sonar, where the navigation system is based on inertial and Doppler velocity sensors. Conventional underwater navigation systems are generally based on an inertial measurement unit (IMU) and a Doppler velocity log (DVL), accompanying a magnetic compass and a depth sensor. Although the conventional navigation systems update the bias errors of inertial sensors and the scale effects of DVL, the estimated position slowly drifts as time passes. This paper proposes a measurement model that uses the range sonar to improve the performance of the IMU-DVL navigation system, for extended operation of underwater vehicles. The proposed navigation model includes the bias errors of IMU, the scale effects of VL, and the bias error of the range sonar. An extended Kalman filter was adopted to propagate the error covariance, to update the measurement errors, and to correct the state equation, when the external measurements are available. To illustrate the effectiveness of the hybrid navigation system, simulations were conducted with the 6-d.o.f. equations of motion of an AUV in lawn-mowing survey mode.

• 한국해양공학회지
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• 제11권3호
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• pp.170-179
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• 1997

This paper presents a hybrid navigation system for AUV to locate its position precisely in rough sea. The tracking system is composed of various sensors such as an inclinometer, a tri-axis magnetometer, a flow meter, and a super short baseline(SSBL) acoustic position tracking system. Due to the inaccuracy of the attitude sensors, the heading sensor and the flowmeter, the predicted position slowly drifts and the estimation error of position becomes larger. On the other hand, the measured position is liable to change abruptly due to the corrupted data of the SSBL system in the case of low signal to noise ratio or large ship motions. By introducing a sensor fusion technique with the position data of the SSBL system and those of the attitude heading flowmeter reference system (AHFRS), the hybrid navigation system updates the three-dimensional position robustly. A Kalman filter algorithm is derived on the basis of the error models for the flowmeter dynamics with the use of the external measurement from the SSBL. A failure detection algorithm decides the confidence degree of external measurement signals by using a fuzzy inference. Simulation is included to demonstrate the validity of the hybrid navigation system.

• 한국항행학회논문지
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• 제11권3호
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• pp.313-318
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• 2007

본 논문은 FDA(Fault Detection Agent)의 설계와 구축을 설명한다. FDA는 홈 네트워크 환경에서 멀티미디어 원격 교육을 위한 소프트웨어 오류를 감지하기에 적합한 에이전트이다. 이 시스템은 ED, ES로 구성되어 있다. ED는 홈 네트워크 환경에서 멀티미디어 원격 교육을 위하여 훅 킹 기법으로 오류를 감지하는 에이전트이다. ES는 홈 네트워크 환경에서 멀티미디어 원격 교육을 위하여 오류를 공유하는 에이전트이다. 멀티미디어 공동 작업 환경의 관점에서 오류 공유는 협동 작업에 참가하는 참가자에게 상호작용적으로 오류를 공유한다. 훅 킹 방법과 가로채기 방법과의 비교를 통하여 효율성 분석을 하였다.