• 제목/요약/키워드: GPS, INS

검색결과 345건 처리시간 0.021초

태양시선벡터를 이용한 저가 관성항법시스템의 보정 (Calibration of Low-cost Inertia Navigation System with Sun Line of Sight Vector)

  • 장세아;최기영
    • 제어로봇시스템학회논문지
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    • 제14권8호
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    • pp.774-778
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    • 2008
  • The inaccuracy of inertial sensors used in low cost IMU's limits the usage to ARS, at best. Sensor fusion technologies are widely used to overcome this problem. GPS is the most popular secondary sensor, but GPS alone cannot fully compensate the IMU errors in the initial alignment process and rectilinear flights. This paper presents a new concept of aiding the low cost IMU with the sun line of sight vector. The simulation and experimental results in this paper proves that aiding of INS/GPS with the sun line of sight vector increases the observability and improves accuracy remarkably.

Development of MEMS-IMU/GPS Integrated Navigation System

  • Kim, Jeong Won;Nam, Chang Woo;Lee, Jae-Cheul;Yoon, Sung Jin;Rhim, Jaewook
    • Journal of Positioning, Navigation, and Timing
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    • 제3권2호
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    • pp.53-62
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    • 2014
  • In the guided missile and unmanned vehicle system, the navigation system is one of the most important components. Recently, low-cost effective smart projectiles and guided bomb are being developed using MEMS based navigation system which has high-G, low-cost and small size. In this paper, locally developed MEMS based GPS/INS integrated navigation system will be introduced in comparison with the state of the art of MEMS based navigation system. And technical design and development method is described to satisfy the required performance of GPS receiver, MEMS inertial sensor assembly, navigation computer and software.

Direct Georeferencing을 이용한 도화 정확도 분석 (The Analysis Accuracy of Mapping using Direct Georeferencing)

  • 나종기;박운용;문두열;김진수
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 추계학술발표회 논문집
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    • pp.263-268
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    • 2004
  • GPS/INS에 의한 항공사진측량을 이용하려면 사진촬영과 동시에 획득한 외부표정요소의 결과를 도화ㆍ편집 작업에 실제로 적용해 보아야 한다. 도화성과의 검증작업은 GPS/INS의 결과를 이용하여 수치지도의 제작시 가장 중요한 공정에 해당한다. 이를 위하여 기존 AT성과에 의하여 제작된 해석도화원도를 기준으로 본 연구에서 제시한 AT 성과별, 도화기별, 표정방식별로 수행한 도화결과를 비교하였다. AT 성과와 표정방법에 상관없이 해석도화와 수치도화의 평면과 표고의 오차를 비교하여 보면, 해석도화가 수치도화보다 우수한 결과를 보여주며, 또한 평면오차가 표고오차보다 더 크게 나타남을 알 수 있었다. GPS/INS AT의 Direct 표정의 경우 InDirect 표정방법에 비해 3배 이상의 오차가 발생하였으나 모든 경우의 결과가 허용오차를 충족하고 있으므로 축척 1:5000에서는 GPS/INS AT를 이용한 표정과 도화작업은 매우 효율적으로 수행될 수 있음을 알 수 있었다.

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관성측정기를 이용한 항공기용 위성추적 안테나의 지향각 결정 (LOS Determination Using INS for an Aircraft Mounted Satellite Tracking Antenna)

  • 정하형;김충일;유준
    • 전자공학회논문지SC
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    • 제49권3호
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    • pp.12-18
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    • 2012
  • 본 논문에서는 항공기에 장착된 안테나가 정지 위성을 향하도록 관성측정기를 사용하여 지향각을 계산하는 방식을 제시한다. 대상 시스템에서 안테나는 항공기 앞에 위치하고 있고 몸체 유연성을 고려하기 위해 관성측정기를 도입하며, 항공기 중심부 GPS/INS와 안테나부 관성항법장치(INS) 사이의 위치와 속도 차이를 활용하여 스트랩다운 INS 표류 오차를 억제하기 위한 칼만필터를 설계한다.

천측 항법 시스템의 수직 방향 결정 (Determination of Local Vortical in Celestial Navigation Systems)

  • 석병석;유준
    • 제어로봇시스템학회논문지
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    • 제13권1호
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    • pp.72-78
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    • 2007
  • Determination of the local vertical is not trivial for a moving vehicle and in general will require corrections for the Earth geophysical deflection. The vehicle's local vertical can be estimated by INS integration with initial alignment in SDINS(Strap Down INS) system. In general, the INS has drift error and it cause the performance degradation. In order to compensate the drift error, GPS/INS augmented system is widely used. And in the event that GPS is denied or unavailable, celestial navigation using star tracker can be a backup navigation system especially for the military purpose. In this celestial navigation system, the vehicle's position determination can be achieved using more than two star trackers, and the accuracy of position highly depends on accuracy of local vertical direction. Modern tilt sensors or accelerometers are sensitive to the direction of gravity to arc second(or better) precision. The local gravity provides the direction orthogonal to the geoid and, appropriately corrected, toward the center of the Earth. In this paper the relationship between direction of center of the Earth and actual gravity direction caused by geophysical deflection was analyzed by using precision orbit simulation program embedded the JGM-3 geoid model. And the result was verified and evaluated with mathematical gravity vector model derived from gravitational potential of the Earth. And also for application purpose, the performance variation of pure INS navigation system was analyzed by applying precise gravity model.

반송파 위상 판별기를 이용한 심층 결합 GPS/INS 통합 항법 시스템용 Data Wipe Off 방법 (Data Wipe Off Method Using a Carrier Phase Discriminator for Deeply Coupled GPS/INS Integrated Navigation Systems)

  • 정호철;김정원;황동환;이상정
    • 전자공학회논문지SC
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    • 제45권6호
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    • pp.77-81
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    • 2008
  • 심층결합 GPS/MS 통합 항법 시스템에서 통합 필터의 갱신 주기가 GPS 신호의 데이터 비트 주기보다 길면 비트 반전에 의해서 상관값 손실이 생기게 된다. 상관값은 항법 결과에 직접적인 영향을 미치므로 이 문제를 해결하기 위해 데이터 비트를 제거하는 DWO 방법이 필요하다. 그러나 일반적인 DWO 방법은 계산량 증가 또는 연속성에 문제가 있다. 본 논문에서는 반송파 판별기를 이용하는 효율적인 DWO 방법을 제안한다. 모의 실험을 통해 제안한 방법을 적용 할 경우 정확하게 데이터 비트를 추정하는 것을 보이고 통합 필터의 갱신주기가 증가하더도 상관값 손실이 작고 코드위상 판별기의 출력 오차가 작은 것을 확인 하였다.

스마트/그린형 자동차의 위치정보시스템에 관한 연구 (A Study on Vehicular Positioning Technologies for Smart/Green Cars)

  • 노갑성;오준석;리앙동
    • 정보통신설비학회논문지
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    • 제9권3호
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    • pp.92-101
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    • 2010
  • Energy efficiency and safe mobility are the two key constituents of the future automobile. The technologies that enable these features are now heavily dependent upon information and communication technology rather than traditional auto-mechanical technology. This paper presents an exploratory project 'Smart&Green Vehicle Project' at Western Michigan University which is to improve the geographical location accuracy of vehicles and to study various applications of making such location data available. Global Positioning System (GPS), Inertial Navigation System (INS), Vehicular Ad-hoc Network (VANET) technology, and data fusion among these technologies are investigated. Testing and evaluation is done on systems which will gather vehicular positioning data during GPS signal loss. Vehicles in urban settings do not acquire accurate positioning data from GPS alone; therefore there is a need for exploration into technology that can assist GPS in urban settings. The goal of this project is to improve the accuracy of positioning data during a loss of GPS signal. Controlled experiments are performed to gather data which aided in assessing the feasibility of these technologies for use in vehicular platforms.

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두 개의 광류센서를 이용한 소형무인로봇의 위치 추정 기술 (Localization with Two Optical Flow Sensors for Small Unmanned Ground Vehicles)

  • 허진욱;강신천;현동준
    • 한국군사과학기술학회지
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    • 제16권2호
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    • pp.95-100
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    • 2013
  • Localization is very important for the autonomous navigation of Unmanned Ground Vehicles; however, it is difficult that they have a precise Inertial Navigation System(INS) sensor, especially Small Unmanned Ground Vehicle(SUGV). Moreover, there are some condition such as denial of global position system(GPS), GPS/INS integrated system is not robust. This paper proposes the estimation algorithm with optical flow sensor and INS. Being compared with previous researches, the proposed algorithm is suitable for skid steering vehicles. We revised the measurement model of previous research for the accuracy of side direction position. Experimental results were performed to verify the algorithm, and the result showed an excellent performance.

트랜스포터 운행관제용 저가형 INS 자세에 관한 연구 (A Study of The Attitude of Low-Cost INS for Transporters)

  • 손영득;이영호;이규찬;박상경;박옥득;김한실
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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    • pp.2588-2590
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    • 2005
  • This paper presents an three dimension attitude of inertial navigation system(INS) for managing a transporter in shipyard by using low-cost inertial sensors. The GPS(Global Positioning System) shade field prevents from receiving information of position through GPS satellites, GIS(Geographic Information System) in shipyard, therefore TNS system plays an important part. This system is composed of tiny low-cost gyroscopes, accelerometers and a magnetic compass, and 3-dimension position is estimated by an indirect Kalman filter using the outputs of these inertial sensors.

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