Single frequency microwave imaging based on compressed sensing

Tianyi Zhou; Anjie Zhu; Yuzhou Shen; Huan Li; Changzhi Li; Jiangtao Hangfu

doi:10.1109/RWS.2018.8304966

Single frequency microwave imaging based on compressed sensing

Tianyi Zhou, Anjie Zhu, Yuzhou Shen, Huan Li, Changzhi Li, Jiangtao Hangfu

Electrical and Computer Engineering

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

1 Scopus citations

Abstract

Microwave imaging has become a hot topic in the area of microwave engineering. In this paper, we propose a new approach for microwave imaging based on multiple transmit and receive antennas assisted with compressed sensing at single frequency. Different from compression achieved by frequency diversity relay on a wide bandwidth, compressed sensing is applied to figure out the location and shape of unknown target utilizing the spatially diversity of antennas' location. Thanks to the compressed sensing, inversion results can be obtained with much faster data processing than traditional methods. Numerical simulation of single target as well as multiple targets is investigated, and the results demonstrate the effectiveness of the proposed approach. With the simple implementation for fast imaging, our method can be potentially used in practical applications of microwave imaging.

Original language	English
Title of host publication	RWS 2018 - Proceedings
Subtitle of host publication	2018 IEEE Radio and Wireless Symposium
Publisher	IEEE Computer Society
Pages	133-135
Number of pages	3
ISBN (Electronic)	9781538607091
DOIs	https://doi.org/10.1109/RWS.2018.8304966
State	Published - Feb 28 2018
Event	2018 IEEE Radio and Wireless Symposium, RWS 2018 - Anaheim, United States Duration: Jan 14 2018 → Jan 17 2018

Publication series

Name	IEEE Radio and Wireless Symposium, RWS
Volume	2018-January
ISSN (Print)	2164-2958
ISSN (Electronic)	2164-2974

Conference

Conference	2018 IEEE Radio and Wireless Symposium, RWS 2018
Country	United States
City	Anaheim
Period	01/14/18 → 01/17/18

Keywords

Born approximation
Compressed sensing
Microwave imaging

Access to Document

10.1109/RWS.2018.8304966

Link to publication in Scopus

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Cite this

Zhou, T., Zhu, A., Shen, Y., Li, H., Li, C., & Hangfu, J. (2018). Single frequency microwave imaging based on compressed sensing. In RWS 2018 - Proceedings: 2018 IEEE Radio and Wireless Symposium (pp. 133-135). (IEEE Radio and Wireless Symposium, RWS; Vol. 2018-January). IEEE Computer Society. https://doi.org/10.1109/RWS.2018.8304966

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title = "Single frequency microwave imaging based on compressed sensing",

abstract = "Microwave imaging has become a hot topic in the area of microwave engineering. In this paper, we propose a new approach for microwave imaging based on multiple transmit and receive antennas assisted with compressed sensing at single frequency. Different from compression achieved by frequency diversity relay on a wide bandwidth, compressed sensing is applied to figure out the location and shape of unknown target utilizing the spatially diversity of antennas' location. Thanks to the compressed sensing, inversion results can be obtained with much faster data processing than traditional methods. Numerical simulation of single target as well as multiple targets is investigated, and the results demonstrate the effectiveness of the proposed approach. With the simple implementation for fast imaging, our method can be potentially used in practical applications of microwave imaging.",

keywords = "Born approximation, Compressed sensing, Microwave imaging",

author = "Tianyi Zhou and Anjie Zhu and Yuzhou Shen and Huan Li and Changzhi Li and Jiangtao Hangfu",

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doi = "10.1109/RWS.2018.8304966",

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series = "IEEE Radio and Wireless Symposium, RWS",

publisher = "IEEE Computer Society",

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Zhou, T, Zhu, A, Shen, Y, Li, H, Li, C & Hangfu, J 2018, Single frequency microwave imaging based on compressed sensing. in RWS 2018 - Proceedings: 2018 IEEE Radio and Wireless Symposium. IEEE Radio and Wireless Symposium, RWS, vol. 2018-January, IEEE Computer Society, pp. 133-135, 2018 IEEE Radio and Wireless Symposium, RWS 2018, Anaheim, United States, 01/14/18. https://doi.org/10.1109/RWS.2018.8304966

Single frequency microwave imaging based on compressed sensing. / Zhou, Tianyi; Zhu, Anjie; Shen, Yuzhou; Li, Huan; Li, Changzhi; Hangfu, Jiangtao.

RWS 2018 - Proceedings: 2018 IEEE Radio and Wireless Symposium. IEEE Computer Society, 2018. p. 133-135 (IEEE Radio and Wireless Symposium, RWS; Vol. 2018-January).

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

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AB - Microwave imaging has become a hot topic in the area of microwave engineering. In this paper, we propose a new approach for microwave imaging based on multiple transmit and receive antennas assisted with compressed sensing at single frequency. Different from compression achieved by frequency diversity relay on a wide bandwidth, compressed sensing is applied to figure out the location and shape of unknown target utilizing the spatially diversity of antennas' location. Thanks to the compressed sensing, inversion results can be obtained with much faster data processing than traditional methods. Numerical simulation of single target as well as multiple targets is investigated, and the results demonstrate the effectiveness of the proposed approach. With the simple implementation for fast imaging, our method can be potentially used in practical applications of microwave imaging.

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