Aerospace and Electronic Systems Magazine July 2018 - 58
LTE CommSense for Object Detection in Indoor Environment
Figure 14.
FRR and FAR percentage at different distances (3, 2, 1, and 0.5 m) of the human target from the LTE CommSense SDR platform.
ing to indoor background decreases as the distance of the human
target from the UE increases.
CONCLUSION
This research is intended to contribute to the field of telecommunication-based environment sensing. The proposed system being
essentially a commensal radar, it does not affect the existing telecommunication system. Hence, the required effort is less, and it
will be a cost-effective solution. Contrary to conventional radar,
which accurately measures the range of a target in the scene, LTE
CommSense can be used to detect and characterize environment
changes.
To establish the preceding claim, first the LTE CommSense
hypothesis was proved in a simulation environment. It was shown
that different ITU-specified channel models can be clearly distinguished using the LTE CommSense system model. Next, practical
LTE DL data were captured in an indoor environment with and
without a human target with the intention of detecting the human
using CommSense. Multiple channel estimates were evaluated
with and without a human in indoor situations. Their dimensionality was reduced using PCA and plotted in 2D and 3D scatterplots.
Those plots revealed that with-human cases and without-human
cases form different clusters. In another attempt to visually distinguish the two cases, FrFT was performed on the channel estimates
for different rotation angles and corresponding TFRs were plotted. Though the difference between the two cases was visible for
58
all angles, it was prominent in the case of rotation angle a = 0.6.
The final attempt was to investigate the effect of changing the distance of the human target on the distinguishing capability of LTE
CommSense in an indoor environment. It was observed that for
four distances and the case with only an indoor background, they
formed separate clusters and that the distance of the cluster centers
from the cluster corresponding to the indoor background decreased
as the distance of the human from the UE increased.
The simulation and experiments with field-collected data support the claim that LTE CommSense is useful in detecting and
characterizing environment changes. A human target in an indoor
environment is detected in this work in support of the claim. In
the future, the capability of LTE CommSense to detect environment changes in an outdoor environment may be investigated. The
possibility of through-the-wall detection with this instrumentation
may also be explored.
REFERENCES
[1]
[2]
[3]
IEEE A&E SYSTEMS MAGAZINE
Rittenbach, O. E. Communication by radar beams, U.S. Patent 3 460
139, Aug. 5, 1969.
Griffiths, H., and Baker, C. Passive coherent location radar systems.
Part 1: performance prediction. IEE Proceedings: Radar, Sonar and
Navigation, Vol. 152, 3 (2005), 153-159.
Inggs, M., and Tong, C. Commensal radar using separated reference
and surveillance channel configuration. Electronics Letters, Vol. 48,
18 (2012), 1158-1160.
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