LTE commsense for object detection in indoor environments

Sardar, Santu; Mishra, Amit Kumar; Khan, Mohammed Zafar Ali

doi:10.1109/maes.2017.180054

Cited by 8 publications

(11 citation statements)

References 13 publications

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“…In some of the previous reports from our work on CommSense we have shown some encouraging results using both GSM and LTE telecommunication standards ( [7], [8], [20], [21]). However, we have not done a formal analysis of the performances of this newly proposed instrument.…”

Section: Introductionmentioning

confidence: 57%

Performance Evaluation of LTE-CommSense System for Discriminating the Presence of Multiple Objects in Outdoor Environment

Sardar

Mishra

Khan

2020

IEEE Trans. Instrum. Meas.

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Section: Introductionmentioning

confidence: 57%

Performance Evaluation of LTE-CommSense System for Discriminating the Presence of Multiple Objects in Outdoor Environment

Sardar

Mishra

Khan

2020

IEEE Trans. Instrum. Meas.

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“…General block diagram and description of LTE-CommSense are elaborated in [11], [8]. Figure 1 provides a simple conceptual system described in [11], [8] using single UE which is implemented and utilized in this work of vehicle detection and classification.…”

Section: Lte-commsense Systemmentioning

confidence: 99%

“…The Naive Nearest Neighbour classifier is selected in this feasibility analysis. Previous works on CommSense have shown promising results using both GSM and LTE telecommunication standards ( [6], [7], [11], [8]). Our proposed hypothesis in this work is that, using extracted CSI values of LTE downlink signal, vehicle can be detected and multiple vehicle can be classified.…”

Section: Lte-commsense Systemmentioning

confidence: 99%

“…Passive Radar or commensal Radar [1, 2, 6, 7] enjoys benefit from each other without any detrimental effect on each other. The efforts of coexistence using commensal Radar principle have many real‐world applications [7, 8]. Few ideas are proposed in open literature which utilises commensal radar principle for vehicle detection and classification [9, 10].…”

Section: Introductionmentioning

confidence: 99%

“…In the past two years, a good amount of work has been done regarding the feasibility of a GSM (Global System for Mobile telecommunication)‐based CommSense system [6, 7]. Suitability of LTE‐based CommSense system is presented in [8, 11]. LTE networks are widespread and follows Orthogonal frequency division multiplexing (OFDM) Principle.…”

Section: Introductionmentioning

confidence: 99%

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Vehicle detection and classification using LTE‐CommSense

Sardar

Mishra²,

Khan

2019

IET Radar, Sonar & Navigation

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We demonstrated a vehicle detection and classification method based on Long Term Evolution (LTE) communication infrastructure based environment sensing instrument, termed as LTE-CommSense by the authors. This technology is a novel passive sensing system which focuses on the reference signals embedded in the sub-frames of LTE resource grid. It compares the received signal with the expected reference signal, extracts the evaluated channel state information (CSI) and analyzes it to estimate the change in the environment. For vehicle detection and subsequent classification, our setup is similar to a passive radar in forward scattering radar (FSR) mode. Instead of performing the radio frequency (RF) signals directly, we take advantage of the processing that happens in a LTE receiver user equipment (UE). We tap into the channel estimation and equalization block and extract the CSI value. CSI value reflects the property of the communication channel between communication base station (eNodeB) and UE. We use CSI values for with and vehicle and without vehicle case in outdoor open road environment. Being a receiver only system, there is no need for any transmission and related regulations. Therefore, this system is low cost, power efficient and difficult to detect. Also, most of its processing will be done by the existing LTE communication receiver (UE). In this paper, we establish our claim by analyzing field-collected data. Live LTE downlink (DL) signal is captured using modeled LTE UE using software defined radio (SDR). The detection analysis and classification performance shows promising results and ascertains that, LTE-CommSense is capable of detection and classification of different types of vehicles in outdoor road environment.

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