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

School of Information and Electronics

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123455
DOIs	https://doi.org/10.1109/ICSIDP47821.2019.9173213
Publication status	Published - Dec 2019
Event	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

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

Conference

Conference	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/Territory	China
City	Chongqing
Period	11/12/19 → 13/12/19

Keywords

grating lobe suppression
least squares estimator
particle swarm optimization
virtual array

Access to Document

10.1109/ICSIDP47821.2019.9173213

Cite this

Chen, X., Yang, X., Xu, F., & Lu, M. (2019). Optimization of Virtual Array Element Position for Sparse Array Based on Particle Swarm Algorithm. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 Article 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 et al. / 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. in 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, China, 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 et al.
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).

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

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. In 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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