# Performance Evaluation of LTE-CommSense System for Discrimination of Presence of Multiple Objects in Outdoor Environment

## TL;DR

This paper evaluates LTE-CommSense, a novel system that uses LTE signals to detect and distinguish multiple objects in outdoor environments, focusing on performance metrics like accuracy and resolution.

## Contribution

It introduces a characterization of LTE-CommSense for object detection, including new resolution concepts and performance metrics derived from practical SDR data.

## Key findings

- LTE-CommSense achieves high detection accuracy at near range.
- The system can distinguish multiple objects effectively.
- New resolution definitions improve detection performance assessment.

## Abstract

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.