The new decoders have been tested in a controlled environment for approximately two months. During this period, several issues were identified and successfully addressed. The quality of observations has met expectations, with an approximate 10% improvement in data quality.

Additionally, the latency of observations has been reduced, and the monitoring and resilience of the new decoders have been enhanced compared to the previous versions. These decoders are based on the open-source Python package pyModeS, which EMADDC frequently collaborates with. PyModeS allows for improved detection of the correct message type and as such, provide more observations for processing by EMADDC. The same decoders have already been in use for the new ADSB Support datastream.

PyModeS also enables the decoding of BDS4.4/MRAR messages and other parameters utilized for internal EMADDC testing. Consequently, MRAR observations are now included in the EMADDC_GLOBAL_MRAR_* files, where available within the KDP dataset. Please note that, similar to the operational European dataset, these MRAR observations are not subject to quality control and should be interpreted with caution.

Please be advised that, similar to previous decoders, there remains a possibility of inaccurate position decoding. However, EMADDC is dedicated to continuing improvements in this issue over the upcoming months.