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.
Fourier transform technique, concealed weapon detection, method of stationary phase, microwave imaging, national security
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
May 2023
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).
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
More information
Accepted/In Press date: 24 April 2023
e-pub ahead of print date: 9 May 2023
Published date: May 2023
Additional Information:
Funding Information:
This work was supported in part by the Sichuan Science and Technology Program under Grant 2023NSFSC0463; National Young Thousand Talent under Grant A0920502051826, Grant YH199911041801, and Grant YX1199912371901; Foreign Talent in Culture and Education under Grant 110000207520190055; National Key Research and Development Plan under Grant 2018YFC0809500; Stable-Support Scientific Project of China Research Institute of Radio Wave Propagation under Grant A132003W02; and Fundamental Research Funds for the Central Universities under Grant 2682018CX20.
Publisher Copyright:
© 2023 by the authors.
Keywords:
Fourier transform technique, concealed weapon detection, method of stationary phase, microwave imaging, national security
Identifiers
Local EPrints ID: 476942
URI: http://eprints.soton.ac.uk/id/eprint/476942
ISSN: 1424-8220
PURE UUID: a70fb3cd-be21-45d4-96f9-8e6606b6936e
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Date deposited: 22 May 2023 16:31
Last modified: 17 Mar 2024 02:33
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Contributors
Author:
Xinyi Nie
Author:
Chuan Lin
Author:
Yang Meng
Author:
A. Qing
Author:
Jan Sykulski
Author:
Ian D. Robertson
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