Sensing and Classification Using Massive MIMO : A Tensor Decomposition-Based Approach

Manoj, Banugondi RajashekaraLinköpings universitet,Linköping University,Kommunikationssystem,Tekniska fakulteten (författare)

Funding Agencies|ELLIIT; Security Link; Ericsson AB
Wireless-based activity sensing has gained significant attention due to its wide range of applications. We investigate radio-based multi-class classification of human activities using massive multiple-input multiple-output (MIMO) channel measurements in line-of-sight and non line-of-sight scenarios. We propose a tensor decomposition-based algorithm to extract features by exploiting the complex correlation characteristics across time, frequency, and space from channel tensors formed from the measurements, followed by a neural network that learns the relationship between the input features and output target labels. Through evaluations of real measurement data, it is demonstrated that the classification accuracy using a massive MIMO array achieves significantly better results compared to the state-of-the-art even for a smaller experimental data set.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Kommunikationssystem hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems hsv//eng
TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
Activity classification
Antenna measurements
Correlation
Feature extraction
large-scale sensing
massive MIMO
neural network
Radio frequency
Sensors
tensor decomposition.
Tensors
Time measurement
Tensors; Feature extraction; Sensors; Correlation; Time measurement; Radio frequency; Antenna measurements; Activity classification; large-scale sensing; massive MIMO; neural network; tensor decomposition

Tian, GuodaLund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups,Lund Univ, Sweden(Swepub:lu)gu7550ti (författare)
Gunnarsson, SaraLund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups,Lund Univ, Sweden(Swepub:lu)sa4326gu (författare)
Tufvesson, FredrikLund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Communications Engineering,Lund University Research Groups,Lund Univ, Sweden(Swepub:lu)es-ftu (författare)
Larsson, Erik G.,1974-Linköpings universitet,Linköping University,Kommunikationssystem,Tekniska fakulteten(Swepub:liu)erila39 (författare)
Linköping UniversityKommunikationssystem (creator_code:org_t)

Ingår i:IEEE Wireless Communications Letters: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC10:12, s. 2649-26532162-23372162-2345

Av författaren/redakt...: Manoj, Banugondi ...; Tian, Guoda; Gunnarsson, Sara; Tufvesson, Fredr ...; Larsson, Erik G. ...

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Kommunikationssy ...

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Signalbehandling

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