2,632 research outputs found
5G Positioning and Mapping with Diffuse Multipath
5G mmWave communication is useful for positioning due to the geometric
connection between the propagation channel and the propagation environment.
Channel estimation methods can exploit the resulting sparsity to estimate
parameters(delay and angles) of each propagation path, which in turn can be
exploited for positioning and mapping. When paths exhibit significant spread in
either angle or delay, these methods breakdown or lead to significant biases.
We present a novel tensor-based method for channel estimation that allows
estimation of mmWave channel parameters in a non-parametric form. The method is
able to accurately estimate the channel, even in the absence of a specular
component. This in turn enables positioning and mapping using only diffuse
multipath. Simulation results are provided to demonstrate the efficacy of the
proposed approach
A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applications
The commercial availability of low-cost millimeter wave (mmWave)
communication and radar devices is starting to improve the penetration of such
technologies in consumer markets, paving the way for large-scale and dense
deployments in fifth-generation (5G)-and-beyond as well as 6G networks. At the
same time, pervasive mmWave access will enable device localization and
device-free sensing with unprecedented accuracy, especially with respect to
sub-6 GHz commercial-grade devices. This paper surveys the state of the art in
device-based localization and device-free sensing using mmWave communication
and radar devices, with a focus on indoor deployments. We first overview key
concepts about mmWave signal propagation and system design. Then, we provide a
detailed account of approaches and algorithms for localization and sensing
enabled by mmWaves. We consider several dimensions in our analysis, including
the main objectives, techniques, and performance of each work, whether each
research reached some degree of implementation, and which hardware platforms
were used for this purpose. We conclude by discussing that better algorithms
for consumer-grade devices, data fusion methods for dense deployments, as well
as an educated application of machine learning methods are promising, relevant
and timely research directions.Comment: 43 pages, 13 figures. Accepted in IEEE Communications Surveys &
Tutorials (IEEE COMST
Position Locationing for Millimeter Wave Systems
The vast amount of spectrum available for millimeter wave (mmWave) wireless
communication systems will support accurate real-time positioning concurrent
with communication signaling. This paper demonstrates that accurate estimates
of the position of an unknown node can be determined using estimates of time of
arrival (ToA), angle of arrival (AoA), as well as data fusion or machine
learning. Real-world data at 28 GHz and 73 GHz is used to show that AoA-based
localization techniques will need to be augmented with other positioning
techniques. The fusion of AoA-based positioning with received power
measurements for RXs in an office which has dimensions of 35 m by 65.5 m is
shown to provide location accuracies ranging from 16 cm to 3.25 m, indicating
promise for accurate positioning capabilities in future networks. Received
signal strength intensity (RSSI) based positioning techniques that exploit the
ordering of the received power can be used to determine rough estimates of user
position. Prediction of received signal characteristics is done using 2-D ray
tracing.Comment: GLOBECOM 2018 - 2018 IEEE Global Communications Conference, 6 page
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