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Complexity reduction for direction of arrival estimation with massive MIMO

: Kurras, M.; Thiele, L.; Haustein, T.; Peng, X.; Ariyoshi, M.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Vehicular Technology Society -VTS-:
IEEE 84th Vehicular Technology Conference, VTC Fall 2016. Proceedings : Montréal, Canada, 18-21 September 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-1701-0
ISBN: 978-1-5090-1702-7 (Print)
Vehicular Technology Conference (VTC Fall) <84, 2016, Montréal>
Fraunhofer HHI ()

This paper presents a novel algorithm to reduce the complexity for Direction of Arrival estimation in an outdoor multipath scenario. The proposed Adaptive Search Space Quantization (ASSQ) algorithm is able to decrease the number of beamforming vectors compared to state of the art and thus matrix multiplications, achieving the same estimation accuracy. The idea of the algorithm is to adaptively decrease the search space and to increase the quantization level in multiple steps. We present numerical results from exhaustive and limited search using a three dimensional channel model, achieving an estimation accuracy of less than 1 m with a probability of 98%.