Deep Learning Approach for Optimal Angle-of-Arrival Estimation Using a mm-Wave Sensor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

From automation industries to health care setups, indoor localization is becoming a key necessity to enable the fourth industrial revolution. With its rising demand, the need for more precise positioning systems is increasing day by day. Millimeter-wave (mm-Wave) technology is emerging to enable highly precise localization performance. However, due to the limited availability of low-cost mm-Wave sensors, it is challenging to accelerate research on real data. Furthermore, noise due to the hardware components of a sensor incurs perturbation in the received signal, which corrupts the estimation of the angle of arrival (AoA). Therefore, we propose a data-driven approach, which employs a dense neural network (DNN) to reduce errors in the estimate of AoA obtained when using a mm-Wave sensor. Our main goal is to optimize the measurements acquired from low-cost mm-Wave sensors to accelerate the development of proof of concepts and foster research on mm-Wave based indoor positioning systems. Our experimental results show a 50% decrease in the error of AoA estimation using the proposed DNN-based approach. All experiments have been performed on over-the-air data collected using a mm-Wave sensor.

Original languageEnglish
Title of host publication2022 25th International Symposium on Wireless Personal Multimedia Communications, WPMC 2022
PublisherIEEE Computer Society
Pages486-490
Number of pages5
ISBN (Electronic)9781665473187
ISBN (Print)9781665473194
DOIs
Publication statusPublished - 20 Jan 2023
Event25th International Symposium on Wireless Personal Multimedia Communications - Herning, Denmark
Duration: 30 Oct 20222 Nov 2022
Conference number: 25

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
PublisherIEEE
ISSN (Print)1347-6890
ISSN (Electronic)1882-5621

Conference

Conference25th International Symposium on Wireless Personal Multimedia Communications
Abbreviated titleWPMC 2022
Country/TerritoryDenmark
CityHerning
Period30/10/222/11/22

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