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Friday, December 15, 2017
Post-processing using EDAS: larger improvements at smaller scales

In the final evaluation of the E-Track project we explored the possibilities of post-processing and the effects of different post-processing solutions on the data required by the GNSS tags.


It was found already in earlier reports that the EGNOS signal is difficult to acquire on the animal tags, due to antenna configuration and amplification. Changing this would be a “costly” operation, as other antennas tend to weigh more and use more power, two tag specifications that should be minimised when designing GNSS tags for animal tracking and behaviour analysis. Hence the use of EDAS and the EGNOS Message Server (EMS) has been explored. In a dedicated experiment, GNSS tags were mounted on a walking cart together with a RTK system as a highly accurate reference. This cart described a so-called saw-tooth pattern with decreasing base lengths of the ‘teeth’ to validate the ability of the system to deduct specific spatiotemporal patterns that can be translated into behaviour. The two most important parameters are step length and turning angle.

The three post-processing solutions that were applied to the data were a single point solution (without any EGNOS correction), single point solution with SBAS correction and a kinematic Precise Point Positioning (PPP) solution also with SBAS correction. Several parameters from the saw-tooth pattern track were calculated using the E-Track software. Simply looking at the total distance that was covered walking each of the triangle sizes and comparing this to the true distance on the field showed clearly that using EGNOS to enhance the position data, either directly used in an SBAS solution, or even better when used in a PPP solution, will improve the positional accuracy. This improvement was of larger influence for smaller patterns, which showed how post-processing using EGNOS can improve the recognition of the behaviour pattern at smaller scales.

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E-Track is carried out in the context of the Galileo FP7 R&D programme supervised by the GSA (Nr. 277679-2)
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