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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009

Выпуски:
Том 78, 2019 Том 77, 2018 Том 76, 2017 Том 75, 2016 Том 74, 2015 Том 73, 2014 Том 72, 2013 Том 71, 2012 Том 70, 2011 Том 69, 2010 Том 68, 2009 Том 67, 2008 Том 66, 2007 Том 65, 2006 Том 64, 2005 Том 63, 2005 Том 62, 2004 Том 61, 2004 Том 60, 2003 Том 59, 2003 Том 58, 2002 Том 57, 2002 Том 56, 2001 Том 55, 2001 Том 54, 2000 Том 53, 1999 Том 52, 1998 Том 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v76.i17.20
pages 1503-1507

OPTIMAL DESIGN OF SPARSE ARRAYS BASED ON MODIFIED QUANTUM GENETIC ALGORITHM

W. Hu
Wenzhou Vocational and Technical College, Chashan higher Education Park, Wenzhou 325035, Prov. Zhejiang, P.R. of China
V. I. Lutsenko
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12 Academician Proskura St., Kharkiv 61085, Ukraine
Q. Guo
Harbin Engineering University, Rd. Nantong 145, Harbin 150001, Prov. Heilongjiang, P.R. of China
Y. Zheng
Qingdao University, Rd. Ningxia 308, Qingdao 266071, Prov. Shandong, P.R. of China
Y. Wang
College of Information and Communication Engineering, Harbin Engineering University, 145 Rd. Nantong, Harbin, Prov. Heilongjiang, P.R. of China

Краткое описание

In order to reduce the peak sidelobe level (PSLL) of the linear array pattern, algorithm of linear array pattern optimization method is proposed based on margin space coding and quantum genetic algorithm (MS_QGA). Using the quantum genetic algorithm to optimize the position margin of array elements in the case that constrain the array aperture, the number of array elements and the minimum array elements space of the uniform linear array, and the optimization goal is to reduce the PSLL. The convergence speed of the proposed method is accelerated, the local search ability and the diversity of the population are improved to solve the premature convergence problem, the complexity of the method and the computation are reduced, the performance of PSLL of the sparse linear arrays is improved, and the array element is better distributed in the array aperture.


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