3 research outputs found
AoA-based Position and Orientation Estimation Using Lens MIMO in Cooperative Vehicle-to-Vehicle Systems
Positioning accuracy is a critical requirement for vehicle-to-everything
(V2X) use cases. Therefore, this paper derives the theoretical limits of
estimation for the position and orientation of vehicles in a cooperative
vehicle-to-vehicle (V2V) scenario, using a lens-based multiple-input
multiple-output (lens-MIMO) system. Following this, we analyze the
Cramr-Rao lower bounds (CRLBs) of the position and
orientation estimation and explore a received signal model of a lens-MIMO for
the particular angle of arrival (AoA) estimation with a V2V geometric model.
Further, we propose a lower complexity AoA estimation technique exploiting the
unique characteristics of the lens-MIMO for a single target vehicle; as a
result, its estimation scheme is effectively extended by the successive
interference cancellation (SIC) method for multiple target vehicles. Given
these AoAs, we investigate the lens-MIMO estimation capability for the
positions and orientations of vehicles. Subsequently, we prove that the
lens-MIMO outperforms a conventional uniform linear array (ULA) in a certain
configuration of a lens's structure. Finally, we confirm that the proposed
localization algorithm is superior to ULA's CRLB as the resolution of the lens
increases in spite of the lower complexity.Comment: 16 pages, 11 figure
Sparse RF Lens Antenna Array Design for AoA Estimation in Wideband Systems: Placement Optimization and Performance Analysis
In this paper, we propose a novel architecture for a lens antenna array (LAA)
designed to work with a small number of antennas and enable angle-of-arrival
(AoA) estimation for advanced 5G vehicle-to-everything (V2X) use cases that
demand wider bandwidths and higher data rates. We derive a received signal in
terms of optical analysis to consider the variability of the focal region for
different carrier frequencies in a wideband multi-carrier system. By taking
full advantage of the beam squint effect for multiple pilot signals with
different frequencies, we propose a novel reconfiguration of antenna array
(RAA) for the sparse LAA and a max-energy antenna selection (MS) algorithm for
the AoA estimation. In addition, this paper presents an analysis of the
received power at the single antenna with the maximum energy and compares it to
simulation results. In contrast to previous studies on LAA that assumed a large
number of antennas, which can require high complexity and hardware costs, the
proposed RAA with MS estimation algorithm is shown meets the requirements of 5G
V2X in a vehicular environment while utilizing limited RF hardware and has low
complexity.Comment: 15 pages, 10 figure
LIPIcs, Volume 251, ITCS 2023, Complete Volume
LIPIcs, Volume 251, ITCS 2023, Complete Volum