Login / Signup

Position estimation with a millimeter-wave massive MIMO system based on distributed steerable phased antenna arrays.

Nenad VukmirovićMiloš JanjićPetar M DjurićMiljko Erić
Published in: EURASIP journal on advances in signal processing (2018)
In this paper, we propose a massive MIMO (multiple-input-multiple-output) architecture with distributed steerable phased antenna subarrays for position estimation in the mmWave range. We also propose localization algorithms and a multistage/multiresolution search strategy that resolve the problem of high side lobes, which is inherent in spatially coherent localization. The proposed system is intended for use in line-of-sight indoor environments. Time synchronization between the transmitter and the receiving system is not required, and the algorithms can also be applied to a multiuser scenario. The simulation results for the line-of-sight-only and specular multipath scenarios show that the localization error is only a small fraction of the carrier wavelength and that it can be achieved under reasonable system parameters including signal-to-noise ratios, antenna number/placement, and subarray apertures. The proposed concept has the potential of significantly improving the capacity and spectral/energy efficiency of future mmWave massive MIMO systems.
Keyphrases
  • machine learning
  • energy transfer
  • air pollution
  • deep learning
  • optical coherence tomography
  • neural network
  • particulate matter
  • current status
  • magnetic resonance
  • health risk
  • high density