Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm

Xiaoyan Chen; Xiaopeng Yang; Feng Xu; Manjun Lu

doi:10.1109/ICSIDP47821.2019.9173213

Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm

Xiaoyan Chen, Xiaopeng Yang, Feng Xu, Manjun Lu

信息与电子学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

The grating lobes often cause detection performance loss of sparse array and the interpolating virtual array may cause sidelobe level rising. In order to suppress the grating lobes, an optimization method based on particle swarm algorithm is proposed to suppress the grating lobes for sparse array. In the proposed method, the initial virtual array position is determined by least squares estimator, and then the particle swarm optimization algorithm is used to optimize the beam pattern. The grating lobes can be effectively suppressed while the sidelobe level can be controlled. Based on the numeral simulations, the effectiveness of the proposed method is verified.

源语言	英语
主期刊名	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781728123455
DOI	https://doi.org/10.1109/ICSIDP47821.2019.9173213
出版状态	已出版 - 12月 2019
活动	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国期限: 11 12月 2019 → 13 12月 2019

出版系列

姓名	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

会议

会议	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
国家/地区	中国
市	Chongqing
时期	11/12/19 → 13/12/19

访问文件

10.1109/ICSIDP47821.2019.9173213

其它文件与链接

链接到 Scopus 的出版物

引用此

Chen, X., Yang, X., Xu, F., & Lu, M. (2019). Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 文章 9173213 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173213

Chen, Xiaoyan ; Yang, Xiaopeng ; Xu, Feng 等. / Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm. ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

@inproceedings{7c25044db44d47cd9a9c7a8398b742f2,

title = "Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm",

abstract = "The grating lobes often cause detection performance loss of sparse array and the interpolating virtual array may cause sidelobe level rising. In order to suppress the grating lobes, an optimization method based on particle swarm algorithm is proposed to suppress the grating lobes for sparse array. In the proposed method, the initial virtual array position is determined by least squares estimator, and then the particle swarm optimization algorithm is used to optimize the beam pattern. The grating lobes can be effectively suppressed while the sidelobe level can be controlled. Based on the numeral simulations, the effectiveness of the proposed method is verified.",

keywords = "grating lobe suppression, least squares estimator, particle swarm optimization, virtual array",

author = "Xiaoyan Chen and Xiaopeng Yang and Feng Xu and Manjun Lu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICSIDP47821.2019.9173213",

language = "English",

series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

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

booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

address = "United States",

}

Chen, X, Yang, X, Xu, F & Lu, M 2019, Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019., 9173213, ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019, Chongqing, 中国, 11/12/19. https://doi.org/10.1109/ICSIDP47821.2019.9173213

Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm. / Chen, Xiaoyan; Yang, Xiaopeng; Xu, Feng 等.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9173213 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm

AU - Chen, Xiaoyan

AU - Yang, Xiaopeng

AU - Xu, Feng

AU - Lu, Manjun

PY - 2019/12

Y1 - 2019/12

N2 - The grating lobes often cause detection performance loss of sparse array and the interpolating virtual array may cause sidelobe level rising. In order to suppress the grating lobes, an optimization method based on particle swarm algorithm is proposed to suppress the grating lobes for sparse array. In the proposed method, the initial virtual array position is determined by least squares estimator, and then the particle swarm optimization algorithm is used to optimize the beam pattern. The grating lobes can be effectively suppressed while the sidelobe level can be controlled. Based on the numeral simulations, the effectiveness of the proposed method is verified.

AB - The grating lobes often cause detection performance loss of sparse array and the interpolating virtual array may cause sidelobe level rising. In order to suppress the grating lobes, an optimization method based on particle swarm algorithm is proposed to suppress the grating lobes for sparse array. In the proposed method, the initial virtual array position is determined by least squares estimator, and then the particle swarm optimization algorithm is used to optimize the beam pattern. The grating lobes can be effectively suppressed while the sidelobe level can be controlled. Based on the numeral simulations, the effectiveness of the proposed method is verified.

KW - grating lobe suppression

KW - least squares estimator

KW - particle swarm optimization

KW - virtual array

UR - http://www.scopus.com/inward/record.url?scp=85091906065&partnerID=8YFLogxK

U2 - 10.1109/ICSIDP47821.2019.9173213

DO - 10.1109/ICSIDP47821.2019.9173213

M3 - Conference contribution

AN - SCOPUS:85091906065

T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

Chen X, Yang X, Xu F, Lu M. Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9173213. (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). doi: 10.1109/ICSIDP47821.2019.9173213

Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm

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