自适应迭代傅里叶算法用于阵列方向图综合

doi:10.3969/j.issn.1001-2400.2013.04.014

Abstract

Abstract:

Based on the existing method of iterative Fourier transforms, an adaptive iteration Fourier technique (AIFT) is proposed for antenna arrays synthesis. Compared with the initial method, three different aspects exist in AIFT. Firstly, the method could adaptively compute the peak sidelobe threshold(PST) in order to obtain the optimum distribution of element excitations satisfying the objective parameter. Secondly, un-uniform element excitations are employed to meet the requirement of sidelobe reduction. Thirdly, when the antenna arrays were massively truncated, the method could lower the beamwidth of their far field patterns by adaptively modulating the value of array factors that are located in the edge region of mainlobes so that the beam broadening caused by the initial method could be efficiently avoided. Simulation results for different design requirements show the effectiveness and high efficiency of the proposed method.

Key words: Fourier transforms, antenna arrays, pattern synthesis, peak sidelobe threshold, sidelobe reduction

CLC Number:

TN820.1

WANG Xinkuan;JIAO Yongchang;TAN Yanyan. Adaptive iteration Fourier technique applied for antenna arrays pattern synthesis[J].J4, 2013, 40(4): 85-89+187.

References

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Adaptive iteration Fourier technique applied for antenna arrays pattern synthesis

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