Abstract: | The potential of small antenna array (2x2 square) for multipaths (MP) mitigation in GNSS systems is considered in this paper. This study focuses on two different approaches. In the first one, we use antenna array algorithms in order to have a spatial discrimination of the incoming paths. Due to the low directivity of the array, conventional beamforming turns out to be inefficient. Thus, high resolution beamformers have been tested. In the second one, we compare this solution with an approach which uses the spatial sampling in combination with time and frequency dimensions. To discriminate the different incoming signals on the three domains, Space Alternating Generalized Expectation Maximisation (SAGE) algorithm, which is a low-complexity generalization of the Maximum Likelihood maximisation (ML) algorithm, has been considered. Monte Carlo simulations clearly show the superiority of SAGE. Nevertheless, SAGE implementation requires a high memory and computation capacities, and real time SAGE processing is still not possible. In order to reduce these requirements, we investigated a new implementation based on both the correlation properties of the code and the thermal noise. With the same level of performance, the new implementation of SAGE can strongly reduce the size of the signal and consequently, the memory and computation requirements. Thus, this is a promising method to take the advantages of SAGE with reasonable hardware requirements. |
Published in: |
Proceedings of the 2011 International Technical Meeting of The Institute of Navigation January 24 - 26, 2011 Catamaran Resort Hotel San Diego, CA |
Pages: | 596 - 605 |
Cite this article: | Rougerie, S., Carrie, G., Ries, L., Vincent, F., Pascaud, R., Corbel, E., Monnerat, M., "Multipath Mitigation Methods Based on Antenna Array," Proceedings of the 2011 International Technical Meeting of The Institute of Navigation, San Diego, CA, January 2011, pp. 596-605. |
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