• Title/Summary/Keyword: GPS navigation system

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Personal Navigation System Using GPS and Dead Reckoning (GPS와 추축항법을 이용항 개인휴대 항법시스템)

  • Hong, Jin-Seok;Yoon, Seon-Il;Jee, Gyu-In
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.5
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    • pp.454-464
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    • 2001
  • In this paper, a personal navigation system is developed using GPS and dead reckoning sensors. This personal navigation system can be used to track a person inside a building, on an urban street, and in the mountain area. GPS can provide accurate absolute position information, but it cant be used without receiving enough satellite signals. Although the inertial sensors such as gyro an accelerometer and be used without this diggiculty, the inertial sensors severely suffer from their drift errors and the magne-tometer can be easily distorted by surrounding electromagnetic field. GPS and DR sensors can be inte-grated together to overcome these problems. A new personal navigation system that can be carried wit person is developed. A pedometer. actually vertically mounted accelerometer, detects ones footstep and gyro detects heading angle. These DR sensors are integrated with GPS and the humans walking pattern provides additional navigation information for compensating the DR sensors. The field testes are performed to evaluated the proposed navigation algorithm.

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A Design of a Simplified Hybrid Navigation System for a Mobile Robot by Using Kalman Filter (칼만 필터를 이용한 이동 로봇의 간이 복합 항법 시스템 설계)

  • Bae, Seol B.;Kim, Min J.;Shin, Dong H.;Kwon, Soon T.;Baek, Woon-Kyung;Joo, Moon G.
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.5
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    • pp.299-305
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    • 2014
  • In this paper, a simple version of the hybrid navigation system using Kalman filter is proposed. The implemented hybrid navigation system is composed of a GPS to measure the position and the velocity, and a IMU(inertial measurement unit) to measure the acceleration and the posture of a mobile robot. A discrete Kalman filter is applied to provide the position of the robot by fusing both of the sensor data. When GPS signal is available, the navigation system estimates the position of the robot from the Kalman filter using position and velocity from GPS, and acceleration from IMU. During the interval until next GPS signal arrives, the system calculates the position of the robot using acceleration from IMU and velocity obtained at the previous step. Performance of the navigation system is verified by comparing the real path and the estimated path of the mobile robot. From experiments, we conclude that the navigation system is acceptable for the mobile robot.

Near-Real-Time Ship Tracking using GPS Precise Point Positioning (GPS 정밀단독측위 기법을 이용한 준실시간 선박 위치추적)

  • Ha, Ji-Hyun;Heo, Moon-Beom;Nam, Gi-Wook
    • Journal of Advanced Navigation Technology
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    • v.14 no.6
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    • pp.783-790
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    • 2010
  • For safety navigation of ships at sea, ships monitor their location obtained from Global Positioning Satellite System (GNSS). In this study, we computed near-real-time positions of a ship at sea using GPS Precise Point Positioning (PPP) technique and analyzed precision of the near-real-time positions. We conducted ship borne GPS observations in the south sea of Korea. To process the GPS data using PPP technique, GIPSY-OASIS (GPS Inferred Positioning System-Orbit Analysis and Simulation Software) developed by the Jet Propulsion Laboratory was used. Antenna phase center variations, ocean tidal loading displacements, and azimuthal gradients of the atmosphere were corrected or estimated as standard procedures of high-precision GIPSY-OASIS data processing. As a result, the precisions of near-real-time positions was ~1cm.

Improving the Performance of DR/GPS Integrated System For Land Navigation Using Sigma Point Based RHKF Filter (시그마 포인트 기반 RHKF 필터를 사용한 지상합법용 DR/GPS 결합시스템의 성능 향상)

  • Choi, Wan-Sik;Cho, Seong-Yun
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.2
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    • pp.174-185
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    • 2006
  • This paper describes a DR construction for land navigation and the sigma point based receding horizon Kalman FIR (SPRHKF) filter for DR/GPS hybrid navigation system. A simple DR construction is adopted to improve the performance both of the pure DR navigation and the DR/GSP hybrid navigation system. In order to overcome the flaws of the EKF, the SPKF is merged with the receding horizon strategy. This filter has several advantages over the EKF, the SPKF, and the RHKF filter. The advantages include the robustness to the system model uncertainty, the initial estimation error, temporary unknown bias, and etc. The computational burden is reduced. Especially, the proposed filter works well even in the case of exiting the unmodeled random walk of the inertial sensors, which can be occurred in the MEMS inertial sensors by temperature variation. Therefore, the SPRHKF filter can provide the navigation information with good quality in the DR/GPS hybrid navigation system for land navigation seamlessly.

A Study on Development of Video Navigation System with real-time GPS Information

  • Jang, Jin-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.8
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    • pp.95-99
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    • 2018
  • This research is related to GPS(global positioning system) enabled device navigation service and consists of two parts. The first is the logic that records the route guidance video and records GPS information in time, and the second is the logic that outputs the created video data based on real time GPS. The recording logic first determines the origin and destination, records the video from the origin to the destination and it adjusts the speed of the image in a specific area so that the user can see it easily. And insert ancillary information and advertisements that can help guide the route. In the output logic, we provide navigation services using the video and GPS data tables we created, and it receives user's GPS information in real time and corrects it based on the recent user location to reduce errors. This provides local guidance services to people who lack language skills like foreigners.

Performance Testing of Integrated Strapdwon INS and GPS

  • Lee, Sang-Joog;Yoo, Chang-Sun;Shim, Yo-Han;Kim, Jong-Chul
    • International Journal of Aeronautical and Space Sciences
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    • v.2 no.1
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    • pp.67-77
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    • 2001
  • In recent navigation system, the profitable solution is to integrate the GPS and Stapdwon INS (SDINS) system and its integration allows compensation for shortcomings of each system. This paper describes the hardware preparation and presents the test results obtained from the automobile test of the developed system. The automobile tests was conducted with two kinds of inertial sensors and GPS receivers : short range and middle range test, to verify and evaluate the performance of the integrated navigation system. The reference of position is given by the Differential GPS(DGPS) which has cm-level accuracy to compare the accuracy of system. Kalman filtering is used for integrating GPS and SDINS and this filter effectively allows the long-term stability of GPS to correct and decrease the time deviation error of SDINS.

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Integrated Navigation System with Low-cost GPS and INS (저가형 GPS와 INS를 이용한 복합항법 시스템 개발)

  • Kim, Min-Ho;Song, Hyun-Min;Kim, Jeong-Rae
    • Journal of Aerospace System Engineering
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    • v.4 no.3
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    • pp.17-23
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    • 2010
  • GPS sensors provide accurate position and velocity of moving vehicles. However, GPS is weak at intermittent signal loss and large position error. Combination with INS improves the GPS position accuracy during the GPS signal loss. In this paper, a fusion filter using GPS and INS is developed and its perfomance is analyzed with RC car and RC airplane experiments.

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Design and Implementation of Combined RF Receiver Front End for GPS/GLONASS (GPS/ GLONASS 통합 수신용 RF 전단부의 설계 및 제작)

  • 주재순;염경환;이상정
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.12 no.4
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    • pp.494-502
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    • 2001
  • GPS(Global Positioning System) and GLONASS(GLObal Navigation Satellite System) are basic technologies providing the information of the position and the time, and they have various applications such as navigation, survey, control, and so on. However, each GPS and GLONASS has limited number of visible satellites, and, from the view of strategy, it is undesirable to be heavily dependent on only one system. Thus, GPS/GLONASS combined receiver became required to obtain more precise navigation and system stability. In this paper, the RF front end of GPS/GLONASS combined receiver was fabricated on 130$\times$80 $\textrm{mm}^2$ PCB(Printed Circuit Board), and its system application was shown finally one chip possibility of GLONASS receiver is studied.

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An Attitude Determination GPS and INS Integration Scheme: Design and Flight Experiment (자세측정용 GPS/INS 통합시스템 구성 및 비행 시험)

  • Kim, Jeong Won;Hwang, Dong-Hwan;Lee, Sang Jeong;Park, Chansik;Oh, Sang Heon;Kim, Se Hwan;Ahn, Lee-Ki;Lee, Jang-Ho
    • Journal of Advanced Navigation Technology
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    • v.8 no.2
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    • pp.112-119
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    • 2004
  • This paper proposes an attitude determination GPS/INS integrated system scheme for a UAV and presents experimental flight test results. The proposed system is designed as a part of an autopilot system and comprises a GPS attitude determination receiver, an off-the-shelf inertial measurement unit (IMU), and a navigation computer unit (NCU). UAV requires accurate attitude information for stable automatic flight control. The proposed system can provide accurate attitude information for the flight control computer (FCC) so that stable automatic flight control can be achieved. In order to verify the performance of the proposed scheme, an integrated navigation system has been developed. In order to evaluate the developed navigation system, the flight test has been performed. In the flight test, the developed system was shown to provide the position, the velocity and the attitude satisfactorily enough for stable flight control. The accuracy of the attitude information of the developed system was confirmed by comparing attitude of vertical gyro.

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