Back

Send article to a friendPrint

SAMURAI

SAMURAI (Sensor Array Processing for Multipath and Radio Interference Identification and Suppression)

For safety-critical applications based on global satellite navigation systems (GNSS) not only a highly accurate, but also a 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 synchronization 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 (Interferenz- und Mehrwegeunterdrückung zur hochgenauen Positionierung mit Gruppenantennen insbesondere bei GBAS Referenzstationen, grant number: 50 NA 0804) further investigations and developments are conducted in the project SAMURAI. The work can be summarized in three main activities: development of signal processing, development of implementation concepts and testing under realistic conditions.

The following tasks are carried out under development for signal processing:

• Developing robust high-resolution estimation methods and parameter tracking algorithms
• Investigation and development of robust and efficient model order estimation method (number of dominant signals)
• Assessment and consideration of signal quantization on the performance of the space-time signal processing
• Study on optimal noise matching under presence of antenna coupling and the effects on the above signal processing methods

The following works are carried out under the implementation of development concepts:

• Preparation of cost models for early estimation of power losses and area of ​​the base band processing
• Development, implementation and simulation of application specific processors for very low power consumption and space requirements
• Analysis of the performance requirements of novel high resolution estimation methods
• Definition of reference scenarios

The testing under realistic conditions includes:

• Testing of high resolution estimation methods
• Testing of selected algorithms for beamforming with the DLR IKN developed multi-antenna hardware demonstration platform (GALANT)
• Use of the Galileo Test Environment (GATE) for further testing underrealistic conditions and implementation of long-term tests

Support: Federal Ministry of Economics and Technology (BMWi), grant number 50NA1110

Consortium:

Institute for Circuit Theory and Signal Processing (NWS) of the Munich University of Technology (TUM), Chair of Electrical Engineering and Computer Systems (EECS) RWTH University Aachen, Institute for Communications and Navigation (KN) of the German Aerospace Center (DLR)

Duration: 2011-2014