DNN-based Direction Finding by Time Modulation

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

doi:10.1109/IEEECONF35879.2020.9329900

DNN-based Direction Finding by Time Modulation

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	439-440
Number of pages	2
ISBN (Electronic)	9781728166704
DOIs	https://doi.org/10.1109/IEEECONF35879.2020.9329900
Publication status	Published - 2020 Jul 5
Event	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Virtually, Toronto, Canada Duration: 2020 Jul 5 → 2020 Jul 10

Publication series

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

Conference

Conference	2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020
Country/Territory	Canada
City	Virtually, Toronto
Period	20/7/5 → 20/7/10

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Instrumentation

Access to Document

10.1109/IEEECONF35879.2020.9329900

Cite this

Kim, D., Kim, S. H., Cha, S. G., Yoon, Y. J., & Jang, B. J. (2020). DNN-based Direction Finding by Time Modulation. In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings (pp. 439-440). [9329900] (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF35879.2020.9329900

Kim, Donghyun ; Kim, Sung Hoe ; Cha, Seung Gook et al. / DNN-based Direction Finding by Time Modulation. 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 439-440 (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings).

@inproceedings{a5271181987b476f831afeb454940c07,

title = "DNN-based Direction Finding by Time Modulation",

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.",

author = "Donghyun Kim and Kim, {Sung Hoe} and Cha, {Seung Gook} and Yoon, {Young Joong} and Jang, {Byung Jun}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 ; Conference date: 05-07-2020 Through 10-07-2020",

year = "2020",

month = jul,

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doi = "10.1109/IEEECONF35879.2020.9329900",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

}

Kim, D, Kim, SH, Cha, SG, Yoon, YJ & Jang, BJ 2020, DNN-based Direction Finding by Time Modulation. in 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings., 9329900, 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 439-440, 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020, Virtually, Toronto, Canada, 20/7/5. https://doi.org/10.1109/IEEECONF35879.2020.9329900

DNN-based Direction Finding by Time Modulation. / Kim, Donghyun; Kim, Sung Hoe; Cha, Seung Gook et al.

2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 439-440 9329900 (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - DNN-based Direction Finding by Time Modulation

AU - Kim, Donghyun

AU - Kim, Sung Hoe

AU - Cha, Seung Gook

AU - Yoon, Young Joong

AU - Jang, Byung Jun

PY - 2020/7/5

Y1 - 2020/7/5

N2 - 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.

AB - 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.

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M3 - Conference contribution

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T3 - 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Kim D, Kim SH, Cha SG, Yoon YJ, Jang BJ. DNN-based Direction Finding by Time Modulation. In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 439-440. 9329900. (2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings). doi: 10.1109/IEEECONF35879.2020.9329900

DNN-based Direction Finding by Time Modulation

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