Multi-objective Unequally-Spaced Array Synthesis Based on Modified Cross Entropy Algorithm

Abstract

Abstract:

The modified cross entropy algorithm and the program flow were proposed based on the combination of fuzzy C mean clustering algorithm and traditional cross entropy algorithm. This algorithm was successfully used in unequallyspaced arrays synthesis, whose number of array element are respectively 6, 8, 10, and 12, and solved the multiobjective optimization problems of the peak sidelobe level and beam width in the field of unequallyspaced array synthesis. In the corresponding cases, the balance curves to peak sidelobe level and beam width of unequallyspaced arrays were proposed.Optimization shows that, given the beam width and the number of unequallyspaced array elements, the peak sidelobe level of unequallyspaced array was decreased by nearly 30% compared with equallyspaced array. In the uniform array beyond the cutoff distance, the algorithm more efficiently and accurately found tradeoff to peak sidelobe and beamwidth.

Key words: array synthesis, unequally-spaced array, modified cross entropy algorithm

CLC Number:

TN 821

BIAN Li,CHE Xiangqian,ZHANG Shaoqing. Multi-objective Unequally-Spaced Array Synthesis Based on Modified Cross Entropy Algorithm[J]. Journal of Shanghai Jiaotong University, 2014, 48(03): 372-376.

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