Abstract Smart environment sensing and other applications play a more important role along with the rapid growth of device-free sensing-based services, extracting parameters contained in channel state information (CSI) accurately is basis these applications. However, antenna arrays wireless devices are all planar whose spacing does not meet spatial sampling theorem while existing parameter esti...

Robust channel estimation in time-varying channels is used to guarantee the quality of communication services, especially for Vehicle-to-Everything (V2X) scenarios. To improve accuracy and reduce pilot overhead, multi-input multi-output (MIMO) radar deployed assist millimeter wave (mmWave) estimation. In this paper, we propose a MIMO aided scheme using deep learning (DL) uplink mmWave multiuser...

One of the ultimate goals future wireless networks is to maximize data rates accommodate bandwidth-hungry services and applications. Thus, extracting maximum amount information bits for given spatial constraints when designing systems will be great importance. In this paper, we present antenna array topologies that communication channel capacity number elements while occupying minimum space. Ca...

In the present paper convergence characteristics of Sample matrix Inversion (SMI) and Least Mean Square (LMS) adaptive beam-forming algorithms (ABFA) are compared for a Smart Antenna System (SAS) in a multipath environment. SAS are employed at base stations for radiating narrow beams at the desired mobile users. The ABFA are incorporated in the digital signal processors for adjusting the weight...

This tutorial discusses the problem of angle arrival (AoA) estimation from small Internet Things devices. It reviews limitations and challenges existing miniaturization strategies, which involve classical antenna arrays. As larger distance between antennas is typically needed for increased precision, without loss accuracy a significant problem. The article demonstrates that use electrically doe...

Cooperative sensors allow for reliable detection, classification and localization of objects in the vehicle’s surroundings – even without a line-of-sight contact to the object. The sensor principle is based on a communication signal between the vehicle and a transponder attached to the object of interest – a pedestrian, for example. Thereby, localization information is gathered by measuring the...

This study evaluated the critical period hypothesis for second language (L2) acquisition. The participants were 240 native speakers of Korean who differed according to age of arrival (AOA) in the United States (1 to 23 years), but were all experienced in English (mean length of residence 5 15 years). The native Korean participants’ pronunciation of English was evaluated by having listeners rate...

A geometrically based channel model is proposed to describe radio propagation in an indoor environment with directional antennas. In conventional geometric channel models (GCMs), distribution of scatterers does not take into account the antenna properties. A different approach is taken here for directional channel modeling. The locations of scattering objects are defined using nonCartesian coor...

This study reports an exploratory analysis of the age of arrival (AoA) effect on the production of second language (L2) prosody. Three groups of Mandarin-speaking immigrants (N=10 in each group) with varying AoA in the United States and ten native speakers of English as controls participated in the study. All participants read a paragraph of English, and their speech samples were subjected to t...