Aerospace and Electronic Systems Magazine July 2018 - 51

Sardar, Mishra, and Khan
served and found to be satisfactory at low SNR conditions even using the NN pattern classifier. The classification performance may
improve further using a better classifier.

EXPERIMENTAL SETUP

Figure 4.

LTE CommSense performance accuracy to distinguish ITU-specified
channel models at different SNR values in the simulation environment.

represents the OFDM symbol, and the
z-axis is the corresponding value of
the CSI in this time-frequency grid. It
can be observed that the CSIs for different channel models are different.
In the next stage, the feasibility
of using these CSIs to obtain knowledge about the environment is investigated using an NN classifier. Later,
this simple classifier may be replaced
with better classifiers to further increase the performance. Euclidean
distance is considered as the distance
measure in the classifier. For a single
SNR value, 50 readings were recorded for each of the channel models
to generate the training dataset. The
test dataset was created accordingly.
Similarly training and testing data
were generated for other SNR values
as well. Given the CSI, the classifier
determines to which channel model
in the training dataset it best corresponds. Multiple SNR values were
considered to evaluate the CommSense performance at different SNR
levels, as shown in Table 2.
The accuracy vs. SNR plot for
this CommSense analysis is shown in
Figure 4. It can be observed that even
at negative SNR values, we get more
that 80% classification accuracy.
It can be concluded that different channel models corresponding to
different types of fading channels, as
specified by ITU for LTE, are recognizable using the CSI obtained at the
receiver. This proves the claim that
CommSense is feasible using LTE
infrastructure. The performance is obJULY 2018

In the next stage, we used practical data for the analysis. To capture
a real-time LTE DL signal, OpenLTE, an open-source, GNU Radiobased implementation of the 3rd Generation Partnership Project
(3GPP) LTE specifications, was used on the USRP N200 platform
[13]. We used OpenLTE version 00-19-00 [14]. We modeled the
LTE receiver on the USRP N200 platform using OpenLTE, which
complies with the LTE specifications. A photo of the data-capturing
device N200 in action is shown in Figure 5a, and its block diagram
is shown in Figure 5b. Along with the N200 platform, the RFX2400

Figure 5.

(a) USRP N200 data-capturing device (front) and host PC screen showing the detected LTE channel by
use of OpenLTE. (b) USRP N200 internal block diagram.

IEEE A&E SYSTEMS MAGAZINE

51



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