Polynomial interpolation of GPS satellite coordinates

Horemuž, Milan; Andersson, Johan Vium

doi:10.1007/s10291-005-0018-0

Cited by 49 publications

(19 citation statements)

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“…Interpolation is required to obtain satellite position with higher sampling rate. Using windowed trigonometric and polynomial interpolation algorithm [2], the interpolation error can be less than 1mm. Its impact on short-term stability estimation can be ignored.…”

Section: Estimation Methods For Compass Meo/igso On-board Clock Smentioning

confidence: 99%

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Estimation of COMPASS on-board clock short-term stability

Gong

Mou

et al. 2012

2012 European Frequency and Time Forum

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The short-term frequency stability estimation of GNSS on-board clocks is very important for clock modeling and prediction. Orbit Determination and Time Synchronization (ODTS) method is commonly used to estimate the clock offset, which needs continuous observation by large monitoring ground network and complicate algorithms. COMPASS is on its early stage of construction and has not globally distributed station network for satellites tracking. In this paper, we have analyzed an estimation method based on a single monitoring station observation. Based on this method, a simple method for COMPASS MEO/IGSO on-board clocks estimation using smoothed broadcast ephemeris is presented, and a method for COMPASS GEO on-board clocks estimation using satellite radio ranging (SRR) is also discussed. At the end of this paper, the preliminary estimation results for COMPASS IGSO and GEO on-board clocks by these two methods are presented.

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Section: Estimation Methods For Compass Meo/igso On-board Clock Smentioning

confidence: 99%

“…CLOCK STABILITY For satellite j, the pseudorange and carrier phase observation equations of receiver k are as follows: Like one-way time synchronization method, equations (1) and (2) show that, the following variables should be corrected before the computation of satellite clock offset:…”

Section: Single Station Estimation Methods Of Satellitementioning

confidence: 99%

Estimation of COMPASS on-board clock short-term stability

Gong

Mou

et al. 2012

2012 European Frequency and Time Forum

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“…We implemented a "monitor role" in Azure that periodically fetches data files from NGA and NGS. Then we perform a polynomial interpolation among the 5 or 15 minute sampling points to obtain a set of parameters [10]. Thus, we have a function that given a satellite and a time stamp returns its location and clock correction at that time.…”

Section: Ephemeris Servicementioning

confidence: 99%

Energy efficient GPS sensing with cloud offloading

Liu

Priyantha

Hart

et al. 2012

Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems

122

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Location is a fundamental service for mobile computing. Typical GPS receivers, although widely available, consume too much energy to be useful for many applications. Observing that in many sensing scenarios, the location information can be post-processed when the data is uploaded to a server, we design a Cloud-Offloaded GPS (CO-GPS) solution that allows a sensing device to aggressively duty-cycle its GPS receiver and log just enough raw GPS signal for postprocessing. Leveraging publicly available information such as GNSS satellite ephemeris and an Earth elevation database, a cloud service can derive good quality GPS locations from a few milliseconds of raw data. Using our design of a portable sensing device platform called CLEO, we evaluate the accuracy and efficiency of the solution. Compared to more than 30 seconds of heavy signal processing on standalone GPS receivers, we can achieve three orders of magnitude lower energy consumption per location tagging.

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“…Ephemeris published from NGS are in 15 minute intervals, and contains the location and clock correction for each GPS satellite. • NGA: The National Geospatial-Intelligence Agency also publishes an independent GPS orbit data 6 . This data source, in addition to the satellite positions and clock correction at 5-minute epochs, also contains the velocity vector and the clock drift rate for each satellite.…”

Section: Ephemeris Servicementioning

confidence: 99%

CO-GPS: Energy Efficient GPS Sensing with Cloud Offloading

Liu

Priyantha

Hart

et al. 2016

IEEE Trans. on Mobile Comput.

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Location is a fundamental service for mobile computing. Typical GPS receivers, although widely available for navigation purposes, may consume too much energy to be useful for many applications. Observing that in many sensing scenarios, the location information can be post-processed when the data is uploaded to a server, we design a Cloud-Offloaded GPS (CO-GPS) solution that allows a sensing device to aggressively duty-cycle its GPS receiver and log just enough raw GPS signal for post-processing. Leveraging publicly available information such as GNSS satellite ephemeris and an Earth elevation database, a cloud service can derive good quality GPS locations from a few milliseconds of raw data. Using our design of a portable sensing device platform called CLEON, we evaluate the accuracy and efficiency of the solution. Compared to more than 30 seconds of heavy signal processing on standalone GPS receivers, we can achieve three orders of magnitude lower energy consumption per location tagging.

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Polynomial interpolation of GPS satellite coordinates

Cited by 49 publications

References 1 publication

Estimation of COMPASS on-board clock short-term stability

Estimation of COMPASS on-board clock short-term stability

Energy efficient GPS sensing with cloud offloading

CO-GPS: Energy Efficient GPS Sensing with Cloud Offloading

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