Attitude Determination GPS/INS Integration System Design Using Triple Difference Technique

Oh, Sang Heon; Hwang, Dong-Hwan; Park, Chan-Sik; Lee, Sang Jeong

doi:10.5370/jeet.2012.7.4.615

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…A solution of GNSS-based AD problem for an aircraft and UAV was provided in a number of research articles [44], [70]- [74]. It is featured by integration with INS unit for more reliable and undisturbed angular estimation.…”

Section: Application Environmentsmentioning

confidence: 99%

GNSS-Based Attitude Determination Techniques—A Comprehensive Literature Survey

et al. 2020

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GNSS-based Attitude Determination (AD) of a mobile object using the readings of the Global Navigation Satellite Systems (GNSS) is an active area of research. Numerous attitude determination methods have been developed lately by making use of various sensors. However, the last two decades have witnessed an accelerated growth in research related to GNSS-based navigational equipment as a reliable and competitive device for determining the attitude of any outdoor moving object using data demodulated from GNSS signals. Because of constantly increasing number of GNSS-based AD methods, algorithms, and techniques, introduced in scientific papers worldwide, the problem of choosing an appropriate approach, that is optimal for the given application, operational environment, and limited financial funding becomes quite a challenging task. The work presents an extensive literature survey of the methods mentioned above which are classified in many different categories. The main aim of this survey is to help researchers and developers in the field of GNSS applications to understand pros and cons of the current state of the art methods and their computational efficiency, the scope of use and accuracy of the angular determination.

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Section: Application Environmentsmentioning

confidence: 99%

GNSS-Based Attitude Determination Techniques—A Comprehensive Literature Survey

et al. 2020

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“…The receiver that receives the GPS data from the satellite measures its own location information using the signal time and a triangulation method. 10,11 The location services based on GPS, however, have a high error value of 10 m because of a gap between the transmitters and satellite locations. To counter this error value, DGPS and RTK can be used for the transmitter.…”

Section: Gps (Global Positioning System)mentioning

confidence: 99%

Vehicle location measurement method for radio-shadow area through iBeacon message

Nam

Shin

2018

International Journal of Distributed Sensor Networks

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Information communication technology related vehicle services need to support location and the transmission of communication and traffic information between vehicles, or between vehicles and infrastructure. In particular, the technology for the measurement of the accurate location of a vehicle is dependent on location-determination technology like Global Positioning System, and this technology is very important for vehicle driving and location services. If, however, a vehicle is in a Global Positioning System radio-shadow area, neither a Global Positioning System nor a Differential Global Positioning System can accurately measure the corresponding location because of a high error rate caused by the shadowing intervention. Even an Inertial Measurement Unit could provide inaccurate location data due to sensor drift faults around corners and traffic-road speed dumps. Vehicles, therefore, need an absolute location to prevent the provision of inaccurate vehicle-location data that is due to radio-shadow areas and relational Inertial Measurement Unit positions. To achieve this, we assume that vehicle-to-infrastructure communication is possible between a vehicle and roadside unit in Vehicular Ad hoc Networks. We used iBeacon at the roadside unit and revised its Universally Unique Identifier so that it generates absolute Global Positioning System location data; that is, moving vehicles can receive absolute Global Positioning System data from the roadside unit-based iBeacon. We compared the proposed method with current Global Positioning System and Inertial Measurement Unit systems for the following two cases: one with a radio-shadow area and one without. We proved that the proposed method generates location data that are more accurate than those of the other methods.

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