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SUMMARY
For safety-critical applications based on global satellite navigation systems (GNSS) a highly accurate and highly reliable time-delay estimation of the received signal needs to be ensured. Therefore, it is extremely important to develop and explore powerful innovative methods for highly accurate synchronisation of navigation receivers, even under difficult reception conditions. The use of array antennas together with appropriate signal processing methods, such as adaptive digital beamforming or high resolution parameter estimation methods (maximum likelihood parameter estimation) has been proven to be one of the key technologies for an effective and highly reliable suppression of multipath and radio interference.
Based on previous work in the project IMPOSANT, the SAMURAI (Sensor Array Processing for Multipath and Radio Interference Identification and Suppression ) project team will carry out further investigations and developments in this area. The work is concentrated in three main activities: development of signal processing, development of implementation concepts and testing under realistic conditions.
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SOLUTIONS
- Developing robust high-resolution estimation methods and parameter tracking algorithms
- Investigating robust and efficient model order estimation method (number of dominant signals)
- Assessing and considering signal quantization on the performance of the space-time signal processing
- Studying optimal noise matching under presence of antenna coupling and the effects on the above signal processing methods
- Preparing cost models for early estimation of power losses and area of the base band processing
- Developing, implementing and simulating application specific processors for very low power consumption and space requirements
- Analysing the performance requirements of novel high resolution estimation methods
- Defining reference scenarios
- Testing high resolution estimation methods
- Testing selected algorithms for beamforming with the DLR IKN developed multi-antenna hardware demonstration platform (GALANT)
- Using the Galileo Test Environment (GATE) for further testing underrealistic conditions and implementation of long-term tests
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LINK:http://itu.dk/en/Forskning/Forskningsprojekter/SmartOSN
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