论文标题
单链路单刺激器本地化和映射使用单恒定接收器
Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver
论文作者
论文摘要
5G MMWAVE MIMO系统可以使用单个快照（BS）和用户配备大型天线阵列时，可以使用单个快照对用户位置进行准确估算和映射无线电环境。但是，最初只能在BS方面进行大规模阵列，这可能会使用户拥有一个或几个天线。在本文中，我们提出了一种新颖的方法，用于在配备了单个Antenna接收器的用户中更具挑战性的情况下进行映射。结合最大可能性（ML）估计问题被提出，其溶液正式得出。为了避免在未知参数的空间上进行全维搜索的负担，我们提出了一种新颖的实用方法，该方法利用了MMWave通道的稀疏性来计算近似的关节ML估计值。彻底的分析，包括Cramér-Rao下限的推导，表明即使BS和用户之间的直接视线路径严重衰减，也可以在Miso设置中实现准确的定位和映射。
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio environment using a single snapshot when both the base station (BS) and user are equipped with large antenna arrays. However, massive arrays are initially expected only at the BS side, likely leaving users with one or very few antennas. In this paper, we propose a novel method for single-snapshot localization and mapping in the more challenging case of a user equipped with a single-antenna receiver. The joint maximum likelihood (ML) estimation problem is formulated and its solution formally derived. To avoid the burden of a full-dimensional search over the space of the unknown parameters, we present a novel practical approach that exploits the sparsity of mmWave channels to compute an approximate joint ML estimate. A thorough analysis, including the derivation of the Cramér-Rao lower bounds, reveals that accurate localization and mapping can be achieved also in a MISO setup even when the direct line-of-sight path between the BS and the user is severely attenuated.
