  LTE-CommSense is a novel instrumentation scheme which analyzes channel
affected reference signals of LTE downlink signal to obtain knowledge about the
environmental change. This work presents the characterization of LTE-CommSense
instrument to detect presence or absence of objects in outdoor environment.
Additionally, we analyze its capability of detecting and distinguishing when
multiple objects are present. For performance evaluation and characterization
of this instrument, we derive object detection accuracy, FAR, FRR and
resolution which we believe are the most important figures of merit in this
case. As the operation of LTE-CommSense is to detect events instead of objects,
we redefine the concept of resolution for LTE-CommSense. Two different
proposals to represent the redefined resolution viz. Neyman Pearson principle
based and Cramer Rao principle based resolution are presented here. All the
performance metrics are derived using practical data captured using an SDR
platform modeled as a LTE-CommSense receiver. We observe that, LTE-CommSense
provides better performance in detecting presence or absence of objects at near
range.
