We describe a simple multivariate technique of likelihood ratios for improved discrimination of signal and background in multi-dimensional quantum target detection. The technique combines two independent variables, time difference and summed energy, of a photon pair from the spontaneous parametric downconversion source into an optimal discriminant. The discriminant performance was studied using experimental data and Monte Carlo modeling with clear improvement shown compared to previous techniques. As novel detectors become available, we expect this type of multivariate analysis to become increasingly important in multi-dimensional quantum optics.
Millimeter wave (mmW) communication has emerged as a promising component of the access link for 5G cellular systems. In order to overcome the higher free-space path loss at these frequencies, high gain, and therefore highly directional, antennas are being proposed at both ends of the link. Furthermore, in order to maintain a mobile connection with an acceptable quality of service (QOS), these highly directional antennas also need to be electronically steerable. This required dual-end steerability adds significant system complexity in terms of both initial access and connected mode procedures. Therefore, these various procedures which were originally designed for the current sub 6 GHz systems need to be re-investigated in light of this added complexity. Traditionally, sub 6 GHz mobility studies mainly focused on translational motion; however, with the dualend highly directional links being proposed for mmW communications, rotational motion also becomes a concern. In this paper, we study the effects these steerable links have on initial network access procedures, especially in the presence of user equipment (UE) rotational motion.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.