Pattern synthesis for uniform linear array using genetic algorithm and artificial neural network

被引：2

作者：

He, Mengmeng ^{[1
]}

Zheng, Zhi ^{[1
,2
]}

Wang, Wen-Qin ^{[1
,2
]}

Kang, Zhenmei ^{[3
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China

[2] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China

[3] Southwest China Inst Elect Technol, Chengdu 610036, Peoples R China

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2022年 / 33卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Pattern synthesis; Uniform linear array (ULA); Genetic algorithm (GA); Artificial neural network (ANN); MINIMUM SIDELOBE LEVEL; GEOMETRY SYNTHESIS;

D O I：

10.1007/s11045-021-00805-9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we propose a new amplitude-only method for pattern synthesis of uniform linear array (ULA) based on genetic algorithm (GA) and artificial neural network (ANN), which can produce a low sidelobe pattern with deep nulls. Unlike existing schemes for pattern synthesis, our method can avoid falling into local optimum and exhibits a faster convergence speed, and is also easy to implement due to its low computational complexity. In complicated and changing environments, the proposed method can quickly and accurately synthesize the desired pattern of the ULA. Numerical results demonstrate the effectiveness of the devised algorithm.

引用

页码：263 / 273

页数：11

共 29 条

[1]

[Anonymous], 2018, P INT APPL COMPUTATI, DOI DOI 10.1109/IMWS-5G.2018.8484444

[2]

[Anonymous], 2006, P INT C MICR RAD WIR

[3]

Cen L, 2008, INT CONF ACOUST SPEE, P2465

[4] Synthesis of sparse planar arrays using modified real genetic algorithm [J].

Chen, Kesong ;

Yun, Xiaohua ;

He, Zishu ;

Han, Chunlin .

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2007, 55 (04) :1067-1073

[5] Modified Dolph-Chebyshev approach for the synthesis of low sidelobe beampatterns with adjustable beamwidth [J].

de Abreu, GTF ;

Kohno, R .

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2003, 51 (10) :3014-3017

[6] Sparse Array Selection Across Arbitrary Sensor Geometries With Deep Transfer Learning [J].

Elbir, Ahmet M. ;

Mishra, Kumar Vijay .

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2021, 7 (01) :255-264

[7]

GAO T, 1993, TENCON '93: 1993 IEEE REGION 10 CONFERENCE ON COMPUTER, COMMUNICATION, CONTROL AND POWER ENGINEERING, VOL 2, P1142, DOI 10.1109/TENCON.1993.320207

[8] Design of Low-Sidelobe Linear Arrays With High Aperture Efficiency and Interference Nulls [J].

Gaviria Gomez, Natalia ;

Rodriguez, Jeffrey J. ;

Melde, Kathleen L. ;

McNeill, Kevin M. .

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2009, 8 :607-610

[9] Chic: Experience-driven Scheduling in Machine Learning Clusters [J].

Gong, Yifan ;

Li, Baochun ;

Liang, Ben ;

Zhan, Zheng .

PROCEEDINGS OF THE IEEE/ACM INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS 2019), 2019,

[10] Application of a Comprehensive Learning Particle Swarm Optimizer to Unequally Spaced Linear Array Synthesis With Sidelobe Level Suppression and Null Control [J].

Goudos, Sotirios K. ;

Moysiadou, Vasiliki ;

Samaras, Theodoros ;

Siakavara, Katherine ;

Sahalos, John N. .

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2010, 9 :125-129

← 1 2 3 →