Multipath Effect Mitigation by Joint Spatiotemporal Separation in Large-Scale Array Localization
The emerging technologies in 5G network not only bring revolutions in communications, but also promise new solutions in wireless localization. In this paper, we investigate how large-scale arrays impact the localization performance and derive the accuracy bound for wireless localization with multiple-input multiple-output (MIMO) systems. We then prove that when the number of array elements goes large, the multipath effects will vanish due to the asymptotic orthogonality of spatial channels in MIMO localization. The multipath mitigation can also be interpreted as the temporal and spatial separation supported by the signal bandwidth and the number of antennas, respectively. Finally, numerical results are given to validate our analysis.