The University of Southampton
University of Southampton Institutional Repository

An accurate millimeter-wave imaging algorithm for close-range monostatic system

An accurate millimeter-wave imaging algorithm for close-range monostatic system
An accurate millimeter-wave imaging algorithm for close-range monostatic system
An efficient and more accurate millimeter-wave imaging algorithm, applied to a close-range monostatic personnel screening system, with consideration of dual path propagation loss, is presented in this paper. The algorithm is developed in accordance with a more rigorous physical model for the monostatic system. The physical model treats incident waves and scattered waves as spherical waves with a more rigorous amplitude term as per electromagnetic theory. As a result, the proposed method can achieve a better focusing effect for multiple targets in different range planes. Since the mathematical methods in classical algorithms, such as spherical wave decomposition and Weyl identity, cannot handle the corresponding mathematical model, the proposed algorithm is derived through the method of stationary phase (MSP). The algorithm has been validated by numerical simulations and laboratory experiments. Good performance in terms of computational efficiency and accuracy has been observed. The synthetic reconstruction results show that the proposed algorithm has significant advantages compared with the classical algorithms, and the reconstruction by using full-wave data generated by FEKO further verifies the validity of the proposed algorithm. Finally, the proposed algorithm performs as expected over real data acquired by our laboratory prototype.
1424-8220
Nie, Xinyi
07869a6d-feff-4229-8a55-73ca4c447b64
Lin, Chuan
9a88043f-8db6-4cae-9c6f-eee88f7c994b
Meng, Yang
da00d8a9-6a60-426b-90e2-90d77d5190c8
Qing, A.
5c084391-bad0-4196-8fa0-a1dcb002479d
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Robertson, Ian D.
d7657c6c-9e64-4ade-bd88-9fe0dabe961b
Nie, Xinyi
07869a6d-feff-4229-8a55-73ca4c447b64
Lin, Chuan
9a88043f-8db6-4cae-9c6f-eee88f7c994b
Meng, Yang
da00d8a9-6a60-426b-90e2-90d77d5190c8
Qing, A.
5c084391-bad0-4196-8fa0-a1dcb002479d
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Robertson, Ian D.
d7657c6c-9e64-4ade-bd88-9fe0dabe961b

Nie, Xinyi, Lin, Chuan, Meng, Yang, Qing, A., Sykulski, Jan and Robertson, Ian D. (2023) An accurate millimeter-wave imaging algorithm for close-range monostatic system. Sensors, 23 (10), [4577]. (doi:10.3390/s23104577).

Record type: Article

Abstract

An efficient and more accurate millimeter-wave imaging algorithm, applied to a close-range monostatic personnel screening system, with consideration of dual path propagation loss, is presented in this paper. The algorithm is developed in accordance with a more rigorous physical model for the monostatic system. The physical model treats incident waves and scattered waves as spherical waves with a more rigorous amplitude term as per electromagnetic theory. As a result, the proposed method can achieve a better focusing effect for multiple targets in different range planes. Since the mathematical methods in classical algorithms, such as spherical wave decomposition and Weyl identity, cannot handle the corresponding mathematical model, the proposed algorithm is derived through the method of stationary phase (MSP). The algorithm has been validated by numerical simulations and laboratory experiments. Good performance in terms of computational efficiency and accuracy has been observed. The synthetic reconstruction results show that the proposed algorithm has significant advantages compared with the classical algorithms, and the reconstruction by using full-wave data generated by FEKO further verifies the validity of the proposed algorithm. Finally, the proposed algorithm performs as expected over real data acquired by our laboratory prototype.

Text
sensors-23-04577 - Version of Record
Available under License Creative Commons Attribution.
Download (9MB)

More information

Accepted/In Press date: 24 April 2023
e-pub ahead of print date: 9 May 2023

Identifiers

Local EPrints ID: 476942
URI: http://eprints.soton.ac.uk/id/eprint/476942
ISSN: 1424-8220
PURE UUID: a70fb3cd-be21-45d4-96f9-8e6606b6936e
ORCID for Jan Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 22 May 2023 16:31
Last modified: 23 May 2023 01:31

Export record

Altmetrics

Contributors

Author: Xinyi Nie
Author: Chuan Lin
Author: Yang Meng
Author: A. Qing
Author: Jan Sykulski ORCID iD
Author: Ian D. Robertson

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×