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Explore initial phase biases in satellite receivers and potential calibration methods. Investigate biases' nature, constancy across parameters, and implications for ambiguity resolution in PPP. Preliminary results show bias variability and correlation influences. Workshop held in Quebec City on October 27th, 2006.
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GEOIDE Workshop (project # 31) Preliminary Results: Receiver Initial Phase Bias Calibration By Simon Banville, Rock Santerre & Marc Cocard Quebec City, October 27th 2006
Context Initial phase offsets, present for both the satellites and the receiver, cause the ambiguities to lose their integer nature.
Motivations • Understand the nature of these biases • Do they really exist? • Do they have constant values between: • Frequencies • Satellites • Epochs • Sessions • Receivers • Find the appropriate way to calibrate or eliminate these biases to perform ambiguity resolution in PPP
Methodology • Use a simulator to produce errorless observations
Methodology • Observation equations involved Carrier phase observation (m) L1 & L2 P2 Code observation (m) Geometric distance between receiver and satellite (m) known Speed of light (m/s) Receiver clock offset (s) Carrier phase wavelength (m) Carrier phase ambiguity (cy) fractional part Receiver initial phase offset (cy) Noise (m) low noise level
Methodology • Inconveniences • Presence of absolute code biases • Correlation between the receiver clock and the ambiguities • Simulator introduces errors • Other error sources (interchannel biases, temperature, etc.)
Summary • Still not sure that the initial phase biases exist • The observed biases seem to drift slightly over time • Different values for L1 and L2 • Different values between sessions • Between satellites single differences seem to cancel out most of the observed biases
Thanks to the UNB team for allowing me to use their simulator
Absolute code biases dT(observed) Using P1 dT(real) P1 code bias dT(observed) Using P2 dT(real) P2 code bias The correlations influence the values of the ambiguities