Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation

Peng Zhao; Weidong Hu; Yang Liu

doi:10.1109/CAMA56352.2022.10002498

Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation

Peng Zhao^*, Weidong Hu, Yang Liu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

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

Abstract

The traditional image-based RCS near-field to far-field transformation has the disadvantage of long processing time. This paper proposes a RCS near-field to far-field transformation based on the extraction of scattering centers, which is accelerated by GPU parallel computing. The scattering center extraction method is CLEAN algorithm. By introducing GPU acceleration technology in image processing, the method improves the processing speed by more than 6 times. At the same time, compared with the traditional image-based RCS near-field to far-field transformation, the RCS transformation accuracy is improved by more than 3 times. Results verify the correctness and effectiveness of this method.

Original language	English
Title of host publication	2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781665490375
DOIs	https://doi.org/10.1109/CAMA56352.2022.10002498
Publication status	Published - 2022
Event	2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022 - Guangzhou, China Duration: 14 Dec 2022 → 17 Dec 2022

Publication series

Name	IEEE Conference on Antenna Measurements and Applications, CAMA
Volume	2022-December
ISSN (Print)	2474-1760
ISSN (Electronic)	2643-6795

Conference

Conference	2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022
Country/Territory	China
City	Guangzhou
Period	14/12/22 → 17/12/22

Keywords

CLEAN algorithm
GPU parallel computing
RCS near-field to far-field transformation

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10.1109/CAMA56352.2022.10002498

Cite this

Zhao, P., Hu, W., & Liu, Y. (2022). Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation. In 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022 (IEEE Conference on Antenna Measurements and Applications, CAMA; Vol. 2022-December). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CAMA56352.2022.10002498

@inproceedings{0e85fc11528c468894821b48f1bfe0c1,

title = "Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation",

abstract = "The traditional image-based RCS near-field to far-field transformation has the disadvantage of long processing time. This paper proposes a RCS near-field to far-field transformation based on the extraction of scattering centers, which is accelerated by GPU parallel computing. The scattering center extraction method is CLEAN algorithm. By introducing GPU acceleration technology in image processing, the method improves the processing speed by more than 6 times. At the same time, compared with the traditional image-based RCS near-field to far-field transformation, the RCS transformation accuracy is improved by more than 3 times. Results verify the correctness and effectiveness of this method.",

keywords = "CLEAN algorithm, GPU parallel computing, RCS near-field to far-field transformation",

author = "Peng Zhao and Weidong Hu and Yang Liu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022 ; Conference date: 14-12-2022 Through 17-12-2022",

year = "2022",

doi = "10.1109/CAMA56352.2022.10002498",

language = "English",

series = "IEEE Conference on Antenna Measurements and Applications, CAMA",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022",

}

Zhao, P, Hu, W & Liu, Y 2022, Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation. in 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022. IEEE Conference on Antenna Measurements and Applications, CAMA, vol. 2022-December, Institute of Electrical and Electronics Engineers, 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022, Guangzhou, China, 14/12/22. https://doi.org/10.1109/CAMA56352.2022.10002498

Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation. / Zhao, Peng; Hu, Weidong; Liu, Yang.
2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022. Institute of Electrical and Electronics Engineers, 2022. (IEEE Conference on Antenna Measurements and Applications, CAMA; Vol. 2022-December).

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

TY - GEN

T1 - Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation

AU - Zhao, Peng

AU - Hu, Weidong

AU - Liu, Yang

PY - 2022

Y1 - 2022

N2 - The traditional image-based RCS near-field to far-field transformation has the disadvantage of long processing time. This paper proposes a RCS near-field to far-field transformation based on the extraction of scattering centers, which is accelerated by GPU parallel computing. The scattering center extraction method is CLEAN algorithm. By introducing GPU acceleration technology in image processing, the method improves the processing speed by more than 6 times. At the same time, compared with the traditional image-based RCS near-field to far-field transformation, the RCS transformation accuracy is improved by more than 3 times. Results verify the correctness and effectiveness of this method.

AB - The traditional image-based RCS near-field to far-field transformation has the disadvantage of long processing time. This paper proposes a RCS near-field to far-field transformation based on the extraction of scattering centers, which is accelerated by GPU parallel computing. The scattering center extraction method is CLEAN algorithm. By introducing GPU acceleration technology in image processing, the method improves the processing speed by more than 6 times. At the same time, compared with the traditional image-based RCS near-field to far-field transformation, the RCS transformation accuracy is improved by more than 3 times. Results verify the correctness and effectiveness of this method.

KW - CLEAN algorithm

KW - GPU parallel computing

KW - RCS near-field to far-field transformation

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DO - 10.1109/CAMA56352.2022.10002498

M3 - Conference contribution

AN - SCOPUS:85148303291

T3 - IEEE Conference on Antenna Measurements and Applications, CAMA

BT - 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022

PB - Institute of Electrical and Electronics Engineers

T2 - 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022

Y2 - 14 December 2022 through 17 December 2022

ER -

Acceleration of RCS Near-Field to Far-Field Transformation Based on GPU Parallel Computation

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