Tenders Are Invited For Intelligent Signal Monitoring Unit For Payload Equipment Autonomy, Health Monitoring, And Reconfiguration (Artes At 5C.530) - Expro+

Tenders are invited for Intelligent Signal Monitoring Unit for Payload Equipment Autonomy, Health Monitoring, and Reconfiguration (Artes at 5c.530) - Expro+ Objective: The objective of the activity is to design, build and test a monitoring unit and associated testbed capable of executingalgorithms, including but not limited to Artificial Intelligence (AI), in real time, to monitor signal and telemetries of RF payloads, trigger autonomous reconfiguration and raise alerts to future autonomous satellites or simply to ground.Targeted Improvements:The operation of constellations requires efficient management of payload performance, health monitoring and reconfiguration when necessary. Current on-board signal monitoring is limited to low frequency telemetries, like temperature readings, avionics telemetriesor health flags, which is not sufficient for autonomous monitoring satellite communication payloads. Closed-loop monitoring of analogue-to-digital converters that interface with antenna calibration channels, beamforming calibration, interference detection, clock monitoring units and other high frequency telemetries is required. These applications are challenging because of the high data ratesand the difficulty of processing radio frequencysignals. Additionally, these algorithms need to run on-board, because of the number of satellites in constellations and the volume of telemetry data.Advances in monitoring algorithms are becoming more mature, for example adapting beamforming coefficients automatically to improve transmission when interferences or failures occur at module or instrument level and initiating a reconfiguration before equipment breaks down, which demonstrate the viability of the concept and together with the progress in more efficient processors and FPGAs, the execution of such algorithms on-board is possible.This activitywill study monitoring algorithms, including convolutional and recurrent neural networks, for broadband payload architectures and develop an intelligent monitoring unit (ISMU) breadboard. The ISMU shall be compatible to the required signal bandwidth and input RF lanes and autonomously trigger mode change or recalibration when a performance drop, health degradation, external interference or failure is detected. Finally, a combined hardware and software testbed will be developed, capable to assess the monitoring andautonomous reconfiguration capabilities, and measure the performance improvements achieved in overall Quality of Service (QoS).Read more Tender Link : https://esastar-publication-ext.sso.esa.int/ESATenderActions/filter/open

Refer document

FileName	File Description
Global Tender Document	2898ab48-6917-437e-8459-49f64aa857d2.htm