入侵杂草优化算法用于阵列天线方向图综合

doi:10.3969/j.issn.1001-2400.2014.01.006

Abstract

Abstract:

For overcoming the problem of slow convergence speed and local optimum by using the existing intelligent optimization algorithms in the pattern synthesis of antenna arrays with nulls, notches and sidelobe reduction, a novel invasive weed optimization(IWO) algorithm is presented, and an adaptive IWO is designed to improve the convergence speed and make a balance between the global and local searching ability. Simulation results show that, compared with other existing algorithms, the proposed algorithm performs better, with higher convergence speed and better computation accuracy.

Key words: array antennas, pattern synthesis, invasive weed optimization, nulls, notches, sidelobe reduction

LIU Yan;JIAO Yongchang;ZHANG Yaming;WANG Xinkuan. Application of the invasive weed optimization algorithm to the pattern synthesis of array antennas[J].J4, 2014, 41(1): 29-33+86.

References

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Application of the invasive weed optimization algorithm to the pattern synthesis of array antennas

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