CDPS envisages to provide cloud capacity for data processing. It offers a cloud-agnostic, highly-scalable framework with resource elasticity, a common component for mission data, and marketplace service for third-party integration. CDPS aims to lower infrastructure costs while providing efficient, scalable, and secure processing capabilities for various Earth Observation systems.

The challenge in space data acquisition, e.g. for earth observation, lies in limited data-downlink capacity. Advances in onboard processing technology prompt exploration of deploying edge computing on satellites to alleviate data transport issues. This can be achieved through individual satellites or specialized networks akin to public cloud data centres. Use-case evaluation and stakeholder validation shaped system requirements for a generic Space Data Centre (SDC) architecture that was devised and simulated in Excel, integrating technology roadmaps and user needs.

In December 2019, the 3GPP standardization group approved a dedicated work-item for the implementation of a new set of 5G New Radio (NR) specifications allowing the integration with mobile broadband satellite networks. This is the first time ever that the space industry has this challenging opportunity of a full integration with terrestrial cellular systems, and to benefit from very large economies of scale.

Convolutional Neural Networks (CNNs) are more and more being used to solve very different kind of problems on ground and are also suitable to solve Space problems, e.g. visual based tasks for rovers. Embedding a CNN into an operational on-board software (OBSW) or hardware is challenging as the CNNs are composed by hundreds of operations and they request an extensive amount of memory that need to be used efficiently.

The presence of autonomous software systems as well as artificial intelligence components in onboard software is becoming increasingly widespread in space missions. As autonomous software is finding its way into more and more missions, having a unified approach for the product assurance of this type of software that can be made applicable across projects is essential.Many of the software product assurance requirements currently in place for space missions could be impacted by autonomous software, from fundamental topics like criticality analysis, down to detailed software quality metrics.

Achievements and status:
• Introduced new type of TASTE project targeting communication device design
• The same MBSE principles and technologies can be applied for communication driver design
• SEDS can be used as Functions in TASTE Interface View logical model
•RS 485 communication driver example implemented for SAMV71Q21 using MBSE approach and SEDS backend

Demonstration project implemented and deployed on SAMV71Q21 platform using new TASTE features

The capacity of developing navigation algorithms for data fusion are key aspects covered in SCRIPT. Fusion
navigation solutions based on ranging, direction of departure (DOD) and direction of arrival (DOA) and GNSS based
on single and multiple anchors and peers for outdoor-to-indoor scenarios are developed.
Our own concept in the field of data fusion for indoor/outdoor location, based on a Sigma Point Kalman Filter
(SKPF), the hybrid filter that combines a particle filter with the classical Kalman filter, is used. The SW Receiver