• Journal of Astronomy and Space Sciences
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• 제35권3호
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• pp.163-173
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• 2018

This paper presents relative navigation using intermittent laser-based measurement data for spacecraft flying formation that consist of two spacecrafts; namely, chief and deputy spacecrafts. The measurement data consists of the relative distance measured by a femtosecond laser, and the relative angles between the two spacecrafts. The filtering algorithms used for the relative navigation are the extended Kalman filter (EKF), unscented Kalman filter (UKF), and least squares recursive filter (LSRF). Numerical simulations reveal that the relative navigation performances of the EKF- and UKF-based relative navigation algorithms decrease in accuracy as the measurement outage period increases. However, the relative navigation performance of the UKF-based algorithm is 95 % more accurate than that of the EKF-based algorithm when the measurement outage period is 80 sec. Although the relative navigation performance of the LSRF-based relative navigation algorithm is 94 % and 370 % less accurate than those of the EKF- and UKF-based navigation algorithms, respectively, when the measurement outage period is 5 sec; the navigation error varies within a range of 4 %, even though the measurement outage period is increased. The results of this study can be applied to the design of a relative navigation strategy using the developed algorithms with laser-based measurements for spacecraft formation flying.

• 전자공학회논문지 IE
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• 제43권3호
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• pp.13-21
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• 2006

Ryu 등은 배열센서 출력을 이용하여 추정한 신호부공간으로부터 표적의 방위각 측정치를 구하고, 이를 이용하여 표적의 방위각 궤적을 추적하는 알고리즘을 제안하였다. Ryu 등이 제안한 방위각 추적 알고리즘은 별도의 데이터연관 필터가 필요 없으며 구조가 간단하다는 장점을 가지고 있다. Ryu의 방위각 추적 알고리즘에서는 신호부공간이 센서출력에 의해서 계속 쇄신되고 있지만 표본시간의 신호부공간에서 구한 측정치만을 사용하고 있으며, 신호대잡음비가 낮은 경우에는 Ryu 알고리즘의 추적 성능이 매우 급격히 저하되는 문제점을 가지고 있다. 본 논문에서는 Ryu 알고리즘의 방위각 추적 성능을 개선하기 위하여 표본시간의 신호부공간에서 구한 측정치뿐만 아니라 표본시간에 인접한 신호부공간으로부터 구한 측정치까지 사용할 수 있도록 ML(Maximum Lekelihood)에 기반을 둔 측정치 융합 기법을 제안한다. 그리고 제안한 측정치 융합 기법을 이용하여 Ryu 알고리즘과 같은 구조를 가지는 새로운 방위각 추적 알고리즘을 제안한다. 제안한 방위각 추적 알고리즘은 Ryu 알고리즘의 장점을 그대로 유지하면서 Ryu 알고리즘보다 향상된 추적 성능을 가진다.

• 대한임베디드공학회논문지
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• 제10권1호
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• pp.1-6
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• 2015

Recently, handy pulse measurement method was introduced by using smart phone camera. However, measured values are not consistent with the variations of external light conditions, because the external light interfere with dynamic range of captured pulse image. Thus, adaptive dynamic range reconstruction algorithm is proposed to conduct pulse measurement robust to light condition. The minimum and maximum values for dynamic ranges of green and blue channels are adjusted to appropriate values for pulse measurement. In addition, sigmoid function based curve is applied to adjusted dynamic range. Experimental results show that the proposed algorithm conducts suitably dynamic range reconstruction of pulse image for the interference of external light sources.

• Journal of the Optical Society of Korea
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• 제17권5호
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• pp.392-398
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• 2013

As the essential techniques for the CD (Critical Dimension) measurement of the LCD pattern, there are various modules such as an optics design, auto-focus [1-4], and precise edge detection. Since the operation of image enhancement to improve the CD measurement repeatability, a ring type of the reflected lighting optics is devised. It has a simpler structure than the transmission light optics, but it delivers the same output. The edge detection is the most essential function of the CD measurements. The CD measurement is a vital inspection for LCDs [5-6] and semiconductors [7-8] to improve the production yield rate, there are numbers of techniques to measure the CD. So in this study, a new subpixel algorithm is developed through facet modeling, which complements the previous sub-pixel edge detection algorithm. Currently this CD measurement system is being used in LCD manufacturing systems for repeatability of less than 30 nm.

• 한국군사과학기술학회지
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• 제25권4호
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• pp.339-346
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• 2022

The importance of stealth technology is increasing in modern warfare, and Radar Cross Section(RCS) is widely used as an indicator of stealth technology. It is useful to measure RCS using an image-based near-field to far-field transformation algorithm in short-range monostatic conditions. However, the near-field measurement system requires a longer measurement time compared to other methods. In this work, it is proposed to reduce the measured data using an interpolation method in azimuth angular domain. The calculated far-field RCS values according to the sampling rate is shown, and the performance of the algorithm applied with interpolation in the angular domain is presented. It is shown that measurement samples can be reduced several times by using the redundancy in the angular domain while producing results similar to the conventional method.

• 한국통신학회논문지
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• 제39C권6호
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• pp.482-489
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• 2014

본 논문은 IEEE 802.11 환경에서 새로운 AP를 탐색하기 위한 네트워크 스캐닝의 기존 방식을 802.11k의 Measurement Pilot을 활용하여 개선하는 새로운 알고리즘을 제안한다. 그리고 제안한 알고리즘과 종래의 알고리즘을 시뮬레이션 환경에서 비교하여 분석한다. 일반적인 IEEE 802.11을 사용하는 기기들은 탐색 시간이 짧다는 장점을 갖는 능동 탐색(Active Scan)방식을 활용한다. 하지만 이 방식은 수동 탐색(Passive Scan) 방식에 비해 많은 전력사용을 필요로 한다. 본 논문에서 제안하는 탐색 알고리즘은 IEEE 802.11k에서 활용되는 비컨(Beacon)보다 짧은 주기를 갖는 Measurement Pilot을 활용하여 수동 탐색과 능동 탐색의 장점을 취합하여 전력사용을 줄인다.

• 전기학회논문지
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• 제68권1호
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• pp.189-198
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• 2019

In recent years, visual-inertial odometry(VIO) algorithms have been extensively studied for the indoor/urban environments because it is more robust to dynamic scenes and environment changes. In this paper, we propose loosely coupled(LC) VIO algorithm that utilizes the velocity vectors from both visual odometry(VO) and inertial measurement unit(IMU) as a filter measurement of Extended Kalman filter. Our approach improves the estimation performance of a filter without adding extra sensors while maintaining simple integration framework, which treats VO as a black box. For the VO algorithm, we employed a fundamental part of the ORB-SLAM, which uses ORB features. We performed an outdoor experiment using an RGB-D camera to evaluate the accuracy of the presented algorithm. Also, we evaluated our algorithm with the public dataset to compare with other visual navigation systems.

• 한국정밀공학회지
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• 제21권10호
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• pp.102-108
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• 2004

In this paper, we studied a vibration problem that is critical and common to most precision measurement systems. For micro mechanical part measurements, results obtained from the vision-based precision measurement system may contain errors due to the vibration. In order to defeat this generic problem, for the current study, a PC based image processing technique was used first, to assess the effect of the vibration to the precision measurement and second, to develop an in-situ calibration algorithm that automatically compensate the measurement results in real time. We used a set of stereoscopic CCD cameras to acquire the images for the dimensional measurement and the reference measurement. The mapping function was obtained through the in-situ calibration to compensate the measurement results and the statistical analysis for the actual results is provided in the paper. Based on the current statistical study, it is expected to obtain high precision results for the micro measurement systems.

• 전자공학회논문지S
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• 제35S권3호
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• pp.93-101
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• 1998

In Integrated Tube Components(ITC) process in themanufacturing of color display tube, we describe the necessity of the convergence measurement method using photo sensors. Compared with methods using 1D or 2D cameras, its characteristics is to use of moving image patterns and fixed sensors. This measurement method is formulated as the measurement problem of the phase difference in phase changing periodic signals. The convergence measurement system using photo sensors, for the good performance, must have a small standard deviation for the repetitive measurement in the same condition and a fast measurement time for thecovergence change. By above two conditions, we proposed the real time measurement algorithm of the pahse difference using fundametal and harmonic in phase changing periodic signals. And, the proposed algorithm is applied to the convergence measurement system.

• 한국지능시스템학회논문지
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• 제26권4호
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• pp.321-326
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• 2016

본 논문에서는 휴대용 휘도측정시스템의 측정위치기반 휘도보정알고리즘을 제안한다. 측정거리와 측정각도에 따라 휘도 값은 변화하며, 측정거리와 측정각도를 고려한 알고리즘을 적용하여 기존에 개발된 영상기반 휘도측정시스템의 오차를 개선한다. 카메라 영상기반의 휘도 정보를 정확하게 획득하는 면측정방법을 제안하기 위해서 점휘도계로 측정대상물과의 측정각도에 따른 휘도 값의 변화를 측정한다. 측정거리, 측정각도와 휘도 값 간의 연관성을 수식으로 나타내었고, 측정위치를 고려한 알고리즘을 제안한다. 실험용 간판을 대상으로 점휘도계와 제안한 휘도측정시스템을 비교 평가 실험하고 제안한 휘도측정시스템의 성능을 검증하였다.