Pattern synthesis for opportunistic array radar based on fuzzy dependent-chance programming

GONG Shufeng; LONG Weijun; PAN Minghai; BEN De

doi:10.13443/j.cjors.2014051901

Volume 30 Issue 2

Apr. 2015

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CHINESE JOURNAL OF RADIO SCIENCE > 2015 > 30(2): 201-207. > DOI: 10.13443/j.cjors.2014051901

GONG Shufeng, LONG Weijun, PAN Minghai, BEN De. Pattern synthesis for opportunistic array radar based on fuzzy dependent-chance programming[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2015, 30(2): 201-207. doi: 10.13443/j.cjors.2014051901

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Pattern synthesis for opportunistic array radar based on fuzzy dependent-chance programming

GONG Shufeng^1, ,,
LONG Weijun^{1, 2},
PAN Minghai¹,
BEN De^{1, 2}

1.
Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing Univ Aeronaut Astronaut, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China
2.
Nanjing Research Institute of Electronics Technology, Nanjing Jiangsu 210038, China

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Received Date: May 18, 2014
Available Online: December 30, 2020
Published Date: April 29, 2015

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Abstract

Abstract

In this paper, the problem of pattern synthesis for opportunistic array radar is studied, and a new pattern synthesis algorithm based on fuzzy dependent-chance programming is proposed. The algorithm based on credibility theory, considers antenna elements with random distribution and excited state of uncertainty, uses fuzzy variables to characterize the complex and uncertain environment of antenna elements, and creates the programming model for pattern synthesis. A searching method integrating the technique of fuzzy simulation and genetic algorithm is designed to search the quasi-optimal schedule under some decision-making criterion. Simulation examples are given to demonstrate the feasibility of the searching method for solving the proposed model.
- opportunistic array radar,
- pattern synthesis,
- credibility theory,
- dependent-chance programming,
- fuzzy simulation,
- genetic algorithms

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