Abstract
This letter considers localization using multiple-input multiple-output (MIMO) systems, configured with multiple transmit and receive sensors, widely distributed in a three-dimensional space. The placement of antennas is explored when the receiver hardware has varying noise quality. Cramer-Rao Lower Bounds are optimized to find the antenna placements, where it is shown that a symmetric configuration of transmitting and different quality receiving sensors around an emitter is optimal.