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항법전 대응을 위한 다중전파측위융복합 시스템 M&S 소프트웨어의 항법환경생성 모듈 설계
김혜원(Heyone Kim),이준학(Junhak Lee),유원재(Won Jae Yoo),오상헌(Sang Heon Oh),이형근(Hyung Keun Lee),소형민(Hyoungmin So),황동환(Dong-Hwan Hwang) 대한전자공학회 2018 대한전자공학회 학술대회 Vol.2018 No.6
In this paper, a navigation environment generation module design method of a multi-radio integrated navigation system M&S software is proposed for countermeasure to navigation warfare. In the proposed design method, measurements of navigation systems are generated and errors caused by jamming attack are added to the measurements. The proposed method is verified by implementing the navigation environment generation module in the M&S software. The errors by jamming attack are observed in the measurements result of the M&S software.
가속도계 배열과 항체의 운동에 따른 GF-INS 의 각속도 추정 성능 비교
이준학(Junhak Lee),김혜원(Heyone Kim),오상헌(Sang Heon Oh),도재철(Jae Chul Do),남창우(Chang Woo Nam),황동환(Dong-Hwan Hwang),이상정(Sang Jeong Lee) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.8
Although the angular velocity of a spinning vehicle with a high rotation rate cannot be measured by conventional gyroscopes, the angular velocity of the vehicle can be obtained from a distributed array of accelerometers in the vehicle. In this paper, the angular velocity estimation performance of the GF-INS is examined according to the accelerometer arrangement and vehicle motion. The DOPs between accelerometer measurements and angular-velocity estimates are compared for two cases of accelerometer arrays. In the first case, three accelerometers are placed at the center of gravity and six accelerometers are placed at the center of the face of a cube. In the other case, four accelerometer triads are placed at the center of gravity and three axes. The accelerometers’ outputs are generated for the trajectory of the vehicle, which rotates three times per second and 30 times per second. The angular velocity is estimated from these outputs by using an extended Kalman filter. The variances of the estimation error for the two array cases are compared. The results show that the angular-velocity estimation performance is better when the DOP is small and the rotation rate is large. Additionally, the performance of the GF-INS can be improved by selecting a suitable accelerometer array for the dynamic characteristics of the vehicle.
GR-INS 에서 칼만필터의 차수에 따른 회전 항체의 각속도 추정 성능 비교
이준학(Junhak Lee),김혜원(Heyone Kim),오상헌(Sang Heon Oh),도재철(Jae Chul Do),남창우(Chang Woo Nam),황동환(Dong-Hwan Hwang),이상정(Sang Jeong Lee) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.10
In this paper, angular velocity estimation performances of the GR-INS are compared according to the order of the extended Kalman filter. The case in which one axis cannot be measured by a gyroscope and two axes can be measured by gyroscopes is investigated. One triad is placed at the center of gravity and three at axes. Two gyroscopes are placed at the axes where angular velocity can be measured. Mechanization of the GR-INS is derived for the arrangement of accelerometers and gyroscopes. Outputs of MEMS accelerometers and MEMS gyroscopes are generated for the trajectory of the vehicle, which rotates 30 times per second. From the outputs, angular velocity is estimated using an extended Kalman filter for the two cases. In the first case, the extended Kalman filter only estimates an angular velocity of the spinning axis of the vehicle. In the other case, the extended Kalman filter estimates the angular velocities of the three axes of the vehicle. Angular velocity estimation performances of the two cases are compared. The result shows that the angular velocity estimation performance is better when the extended Kalman filter estimates the angular velocities of the three axes. It can be seen from the result that the performance of the GR-INS can be improved by using a Kalman filter with higher order.