Advanced optimization for subarray structure in electronic warfare environment

Yang Zhitao; Hu Hang; Wang Dan; Qin Weicheng

doi:10.1109/ICMTCE.2013.6812462

Advanced optimization for subarray structure in electronic warfare environment

Yang Zhitao
, Hu Hang
, Wang Dan
, Qin Weicheng

School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

20 Scopus citations

Abstract

Advanced Genetic Algorithm(AGA) is an algorithm that could be beneficial to both the jammer suppression and subarray structure, which could obtain an array structure with relatively concentrated subarray structure and better jammer suppression. The structure of subarray level optimazation is analyzed and the signal model is presented. Subarray level optimization could suppress jammer effectively; compared with conventional genetic algorithm at subarray level (only adaptive processing in jammer), better subarray structure gained and the cost of hardware could be reduced remarkably. Simulation results demonstrate the validity of the introduced approach.

Original language	English
Pages	30-34
Number of pages	5
DOIs	https://doi.org/10.1109/ICMTCE.2013.6812462
State	Published - 2013
Externally published	Yes
Event	2013 3rd IEEE International Conference on Microwave Technology and Computational Electromagnetics, ICMTCE 2013 - Qingdao, China Duration: 27 Aug 2013 → 29 Aug 2013

Conference

Conference	2013 3rd IEEE International Conference on Microwave Technology and Computational Electromagnetics, ICMTCE 2013
Country/Territory	China
City	Qingdao
Period	27/08/13 → 29/08/13

Keywords

advanced genetic algorithm
jammer
optimization
phased array at subarray level

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10.1109/ICMTCE.2013.6812462

Cite this

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abstract = "Advanced Genetic Algorithm(AGA) is an algorithm that could be beneficial to both the jammer suppression and subarray structure, which could obtain an array structure with relatively concentrated subarray structure and better jammer suppression. The structure of subarray level optimazation is analyzed and the signal model is presented. Subarray level optimization could suppress jammer effectively; compared with conventional genetic algorithm at subarray level (only adaptive processing in jammer), better subarray structure gained and the cost of hardware could be reduced remarkably. Simulation results demonstrate the validity of the introduced approach.",

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doi = "10.1109/ICMTCE.2013.6812462",

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AU - Zhitao, Yang

AU - Hang, Hu

AU - Dan, Wang

AU - Weicheng, Qin

PY - 2013

Y1 - 2013

N2 - Advanced Genetic Algorithm(AGA) is an algorithm that could be beneficial to both the jammer suppression and subarray structure, which could obtain an array structure with relatively concentrated subarray structure and better jammer suppression. The structure of subarray level optimazation is analyzed and the signal model is presented. Subarray level optimization could suppress jammer effectively; compared with conventional genetic algorithm at subarray level (only adaptive processing in jammer), better subarray structure gained and the cost of hardware could be reduced remarkably. Simulation results demonstrate the validity of the introduced approach.

AB - Advanced Genetic Algorithm(AGA) is an algorithm that could be beneficial to both the jammer suppression and subarray structure, which could obtain an array structure with relatively concentrated subarray structure and better jammer suppression. The structure of subarray level optimazation is analyzed and the signal model is presented. Subarray level optimization could suppress jammer effectively; compared with conventional genetic algorithm at subarray level (only adaptive processing in jammer), better subarray structure gained and the cost of hardware could be reduced remarkably. Simulation results demonstrate the validity of the introduced approach.

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KW - jammer

KW - optimization

KW - phased array at subarray level

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Y2 - 27 August 2013 through 29 August 2013

ER -

Advanced optimization for subarray structure in electronic warfare environment

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Keywords

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