• Title/Summary/Keyword: position determination

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A Study on the Optimal Position Determination of Middle Supporting Points to Maximize the First Natural Frequency of a Beam (보의 1차 고유진동수가 최대가 되는 중간지지점의 최적위치 선정에 관한 연구)

  • 안찬우;홍도관;김동영;최석창;박일수
    • Journal of KSNVE
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    • v.11 no.1
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    • pp.89-95
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    • 2001
  • This paper describes the natural frequencies obtained through FEA (Finite Element Analysis) and Numerical Analysis which uses the boundary conditions to each equation of motion and the consecutive conditions at each supporting point. And then. we studied on the optimal position determination of middle supporting points to maximize the natural frequency of a beam at 24 Models. We present the data of optimal condition for designing a beam.

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Success Rate Analysis in GPS Attitude Determination Using a Unscented Kalman Filter (GPS반송파를 이용한 자세결정에서 UKF적용을 통한 성공률 변화 분석)

  • Kwon, Chul-Bum;Chun, Se-Bum;Lee, Eun-Sung;Kang, Tae-Sam;Jee, Gyu-In;Lee, Young-Jae
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.3
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    • pp.222-227
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    • 2005
  • Resolving the integer ambiguity of GPS carrier phase measurements is the most important routine in precise positioning. In this paper, success rate is analyzed when using baseline information in the process of determining attitude. The result is verified through the simulation. Determining the initial position for the ambiguity resolution is estimated by using code measurement and baseline constraint. Success rate is estimated using covariance of the formed initial position. UKF has been used to overcome the nonlinear baseline condition during the process so that the higher success rate has been obtained compared with the general attitude determination.

Design of a Two-dimensional Attitude Determining GPS Receiver (이차원 자세 측정용 GPS 수신기 설계)

  • 손석보;박찬식;이상정
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.2
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    • pp.131-139
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    • 2000
  • A design of CPS attitude determination system is described in this paper. The designed system is a low cost high precision 24 channel single frequency GPS(Global Positioning System) receiver which provides a precise absolute heading and pitch (or roll) as well as a position. It uses commercial chip-set and consists of two RF parts, two signal-tracking parts, a processor, memory parts and I/Os. In order to determine precise attitude, accurate carrier phase measurements and an efficient integer ambiguity resolution method are required. To meet these requirements, a PLL (Phase Locked Loops) is designed, and an algorithm called ARCE (Ambiguity Resolution with Constraint Equation) is adopted. The hardware and software structure of the system will be described, and the performance evaluated under various conditions will be presented. The test results will promise that more reliable navigation system be possible because the system provides all navigational information such as position, velocity, time and attitude.

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Design and Implementation of a GNSS Receiver Development Platform for Multi-band Signal Processing (다중대역 통합 신호처리 가능한 GNSS 수신기 개발 플랫폼 설계 및 구현)

  • Jinseok Kim;Sunyong Lee;Byeong Gyun Kim;Hung Seok Seo;Jongsun Ahn
    • Journal of Positioning, Navigation, and Timing
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    • v.13 no.2
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    • pp.149-158
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    • 2024
  • Global Navigation Satellite System (GNSS) receivers are becoming increasingly sophisticated, equipped with advanced features and precise specifications, thus demanding efficient and high-performance hardware platforms. This paper presents the design and implementation of a Field-Programmable Gate Array (FPGA)-based GNSS receiver development platform for multi-band signal processing. This platform utilizes a FPGA to provide a flexible and re-configurable hardware environment, enabling real-time signal processing, position determination, and handling of large-scale data. Integrated signal processing of L/S bands enhances the performance and functionality of GNSS receivers. Key components such as the RF frontend, signal processing modules, and power management are designed to ensure optimal signal reception and processing, supporting multiple GNSS. The developed hardware platform enables real-time signal processing and position determination, supporting multiple GNSS systems, thereby contributing to the advancement of GNSS development and research.

A Study on Determination for Location of Localizer Antenna under Area Restrictive Conditions at Domestic P-Airport (국내 P공항의 부지 제한조건을 고려한 로컬라이저의 최적위치 선정에 관한 연구)

  • Cho, Hwan-Kee;Kim, Jong-Bum;Song, Byung-Heum
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.2
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    • pp.7-14
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    • 2015
  • This paper deals with an optimal determination process for the built-in location of localizer under restrictive siting area conditions of a domestic P-airport. Aerodynamic forces and moments acting on the localizer structure can be used a reference to find the safe distance from jet blast and the position at which the reasonable structural loading is applied. Wind tunnel experiment is conducted to measure aerodynamic loadings. The finite element analysis for structural deformation is employed to get the information of structural failure. A new localizer's position is determined by considering aerodynamic loading, structural strength and thermal loading due to jet blast. Deflector effect was also investigated in this study. In conclusion, the location of localizer can be placed at shorter than the current position and greatly decreased if the deflector is applied at the front of localizer.

Determination of an Optimal Sentence Segmentation Position using Statistical Information and Genetic Learning (통계 정보와 유전자 학습에 의한 최적의 문장 분할 위치 결정)

  • 김성동;김영택
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.10
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    • pp.38-47
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    • 1998
  • The syntactic analysis for the practical machine translation should be able to analyze a long sentence, but the long sentence analysis is a critical problem because of its high analysis complexity. In this paper a sentence segmentation method is proposed for an efficient analysis of a long sentence and the method of determining optimal sentence segmentation positions using statistical information and genetic learning is introduced. It consists of two modules: (1) decomposable position determination which uses lexical contextual constraints acquired from a training data tagged with segmentation positions. (2) segmentation position selection by the selection function of which the weights of parameters are determined through genetic learning, which selects safe segmentation positions with enhancing the analysis efficiency as much as possible. The safe segmentation by the proposed sentence segmentation method and the efficiency enhancement of the analysis are presented through experiments.

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Evaluation of KOMPSAT-1 Orbit Determination Accuracy

  • Kim, Hae-Dong;Choi, Hae-Jin;Kim, Eun-kyou
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.588-590
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    • 2003
  • For the normal operations, KOMPSAT-1 orbits are determined using GPS navigation solutions data such as position and velocity vectors. Currently, the accuracy of GPS navigation solution data is generally known as on the order of 10~30 m with the removal of S/A. In this paper, an estimate of the current orbit determination accuracy for the KOMPSAT-1 is given. For the evaluation of orbit determination accuracy, the orbit overlap comparison is used since no independent orbits of comparable accuracy are available for comparison. As a result, It is shown that the orbit accuracy is on the order of 5 m RMS with 4 hrs arc overlap for the 30 hr arc.

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Differential Evolution for Regular Orbit Determination

  • Dedhia, Pratik V.;Ramanan, R V.
    • International Journal of Aerospace System Engineering
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    • v.7 no.2
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    • pp.6-12
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    • 2020
  • The precise prediction of future position of satellite depends on the accurate determination of orbit, which is also helpful in performing orbit maneuvers and trajectory correction maneuvers. For estimating the orbit of satellite many methods are being used. Some of the conventional methods are based on (i) Differential Correction (DC) (ii) Extended Kalman Filter (EKF). In this paper, Differential Evolution (DE) is used to determine the orbit. Orbit Determination using DC and EKF requires some initial guess of the state vector to initiate the algorithm, whereas DE does not require an initial guess since a wide range of bounds for the design unknown variables (orbital elements) is sufficient. This technique is uniformly valid for all orbits viz. circular, elliptic or hyperbolic. Simulated observations have been used to demonstrate the performance of the method. The observations are generated by including random noise. The simulation model that generates the observations includes the perturbation due to non-spherical earth up to second zonal harmonic term.

Sensorless Estimation of Single-Phase Hybrid SRM using Back-EMF

  • Tang, Ying;He, Yingjie;Lee, Dong-Hee;Ahn, Jin-Woo
    • Journal of Electrical Engineering and Technology
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    • v.12 no.1
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    • pp.198-206
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    • 2017
  • This paper presents a novel scheme to estimate the rotor position of a single-phase hybrid switched reluctance motor (HSRM). The back-EMF generated by the permanent magnet (PM) field whose performance is motor parameter independent is adopted as an index to achieve the sensorless control. The differential value of back-EMF is calculated by hardware and processed by DSP to capture a fixed rotor position four times for every mechanical cycle. In addition, to accomplish the normal starting of HSRM, the determination method of the turn-off time position at the first electrical cycle is also proposed. In this way, a sensorless operation scheme with adjustable turn on/off angle can be achieved without substantial computation. The experimental verification using a prototype drive system is provided to demonstrate the viability of the proposed position estimation scheme.