DNN-based Direction Finding by Time Modulation

Donghyun Kim, Sung Hoe Kim, Seung Gook Cha, Young Joong Yoon, Byung Jun Jang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, novel direction finding method based on deep neural network (DNN) and time modulation is proposed for resolution improvement. The proposed method has fast estimation time and simple system compared to the conventional method. The resolution improvement by the time modulation and DNN is three times higher than the previously studied method. In addition to, through an experiment, the proposed method has been validated to have higher resolution and similar accuracy.

Original languageEnglish
Title of host publication2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages439-440
Number of pages2
ISBN (Electronic)9781728166704
DOIs
Publication statusPublished - 2020 Jul 5
Event2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Virtually, Toronto, Canada
Duration: 2020 Jul 52020 Jul 10

Publication series

Name2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings

Conference

Conference2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020
CountryCanada
CityVirtually, Toronto
Period20/7/520/7/10

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Instrumentation

Fingerprint Dive into the research topics of 'DNN-based Direction Finding by Time Modulation'. Together they form a unique fingerprint.

Cite this