基于模糊机会约束规划的机会阵雷达方向图综合

doi:10.7527/S1000-6893.2014.0096

Abstract

Abstract:

A new pattern synthesis model based on fuzzy chance-constrained programming is presented, which can be used to solve the uncertain problem of pattern synthesis for opportunistic array radar. The model bases on credibility theory, takes fully into account antenna elements with random distribution and excited state of uncertainty, uses the trapezoidal fuzzy variable to describe the number of the working antenna elements and characterize the complex and uncertain environment. Then, the programming model is transformed into a crisp equivalent forms, and a hybrid intelligent optimization algorithm is designed to solve the programming model, which is combined with genetic algorithms and grey relational comprehensive evaluation. And a uniform one-dimensional array is synthesized with this model, and the main lobe width and maximum side-lobe level are optimized. Simulation results show that the credibility of optimized results is higher than the confidence level, which verify the effectiveness of the model.

Key words: opportunistic array radar, pattern synthesis, credibility theory, fuzzy chance-constrained programming, genetic algorithms, grey relational comprehensive evaluation

CLC Number:

GONG Shufeng, BEN De, PAN Minghai, LONG Weijun. Pattern Synthesis for Opportunistic Array Radar Based on Fuzzy Chance-constrained Programming[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(9): 2615-2623.

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Pattern Synthesis for Opportunistic Array Radar Based on Fuzzy Chance-constrained Programming

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