DGPS QC package04/05/2009 |
| A release of C-Nav's C-MONITOR includes a full Quality Control (QC) display feature. The QC solution, specifically tailored to meet the exacting demands of C-Nav's real-time Precise Point Positioning service, uses a statistically sound RAIM algorithm to detect, identify and eliminate data outliers, then reports the rejection process via NMEA and binary messages. |
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After eliminating outliers, the process performs statistical analysis on the remaining observations using techniques that comply with IMO/NMEA requirements and exceed UKOOA recommendations.
C-MONITOR is user-configurable and includes a table of GPS satellite statistics with real-time displays from single or multiple GPS receivers and time series plots of differential age and a number of satellites in the solution.
A sky plot of all visible GPS/GLONASS satellites (with status) is provided with variable scale scatter plots for monitoring satellite position stability. The additional QC parameters include unit variance, F-test of Unit Variance, 67% error ellipse (NMEA) and 95% error ellipse (UKOOA).
The reliability statistics include outlier rejection, type-II error probability, W-statistic (for each satellite in solution) and marginally detectable error (range and position).
Read more about: Positioning Website: http://www.cnavgps.com/ Supplier: C&C Technologies Inc. More news from this supplier: Successful Pipeline Inspection Upgradeable GNSS Receiver AUVs with Camera System Unmanned Semi-Submersible Trial De Beers Marine Namibia Extends C-Nav Contract CCGIS Map Gives First Peek at Assets Brazilian Contract for C-Nav AUV Reaches 125,000km Mark In Memoriam: John Edward Chance C-Nav's Two GNSS Services High-precision Cartography Bilbao and Donostia Oil-spill Response Vessels Launched Radio Interview on Oil Spill Technology Students Map Grand Traverse Bay Further Clues about Subsurface Oil Movements Marisoft Inspection Package Sales YSI Castaway Demonstrations OilDam Approved for Deployment Training Course to Ice Navigation Standard Sharper Images For Precise Characterisation 
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