Objective
The Global Navigation Satellite Systems (GNSS) technology is known for precise positioning and timing capability that is of use in diverse fields of science and technology. The rapid development in this field by various nations in terms of deploying new satellite
systems (GPS, GLONASS, Galileo, COMPASS, IRNSS/NAVIC), new signals in different frequency bands (L1, L2, L5, G1, G2, E1, E5a, E5b, B1, B2, B3, etc.) is changing the trend of GNSS receiver design. Especially, the intrinsic flexibility of software-based receiver design approach is becoming a competitor to even highly developed ASICs. The goal of this project is to develop Jamming and Spoofing Resilient Deep Learning based Software-Defined multi-antenna GNSS Receiver (JASMINE). JASMINE is a multi-antenna multi-system dual-band GNSS receiver with autonomous integrity ability. In this project we propose to build a novel design approach for software defined GNSS receiver, combining deep learning (DL) approach with the expert knowledge to replace existing GNSS receiver
algorithms. Novel techniques are proposed for multi-GNSS signal acquisition, denoising, orbit determination (Satellite position estimation), threat detection and mitigation (due to jamming, spoofing and ionosphere) by applying prominent deep neural networks (2D CNN, BiLSTM, RNN/LSTM, 1D CNN) and deep reinforcement learning (actor-critic (RNN/LSTM, 2D CNN), Sarsa, Q-learning, Policy Gradients) methods that add intelligence and give unseen capabilities to JASMINE in comprehending an increasingly complex
environment.
The proposed JASMINE supports all GNSS RF-frequencies (compatible with new signals), inherits the superiority of signal and navigation processing algorithms through Deep learning technology, and thus presents excellence performance. To achieve reconfigurability and optimized performance, Graphics processing unit (GPU) based Software Defined Radio (SDR) approach is preferred for JASMINE.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- social sciences social geography transport navigation systems satellite navigation system global navigation satellite system
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2022-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
33100 Tampere
Finland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.