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论文:2014,Vol:32,Issue(6):981-986 |
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引用本文： |
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刘燕, 焦永昌, 张亚明, 程伟. 基于分解的多目标入侵杂草算法用于阵列天线方向图综合[J]. 西北工业大学学报 |
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Liu Yan, Jiao Yongchang, Zhang Yaming, Cheng Wei. Pattern Synthesis of Array Antennas Using Multi-Objective Invasive Weed Optimization Based on Decomposition[J]. Northwestern polytechnical university |
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| 基于分解的多目标入侵杂草算法用于阵列天线方向图综合 |
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| 刘燕1, 焦永昌1, 张亚明2,3, 程伟3 |
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1．西安电子科技大学 天线与微波技术重点实验室, 陕西 西安 710071;
2．西安石油大学 电子工程学院, 陕西 西安 710065;
3．西北工业大学 电子信息学院, 陕西 西安 710129 |
| 摘要: |
| 从多目标优化的角度分析和求解传统的阵列天线方向图综合问题,并将一种新型入侵杂草算法改进后嵌入到基于分解的多目标优化算法框架中,提出基于分解的多目标入侵杂草算法。该算法利用入侵杂草算法强大的搜索能力和稳健性,高效地实现了算法优化过程的并行性。通过对20元直线阵进行综合,与基于分解的多目标差分进化算法相比,新算法得到的最大副瓣电平降低了1.582 2~2.115 1 d B;得到的最大深零点电平和凹口电平分别降低了4.429 6 d B、4.665 7 d B。这些结果表明新算法得到的解有着更高的计算精度、收敛速度和多样性,综合性能更好。 |
| 关键词:
阵列天线
方向图综合
多目标优化
入侵杂草算法
零点
凹口
低副瓣
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| Pattern Synthesis of Array Antennas Using Multi-Objective Invasive Weed Optimization Based on Decomposition |
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| Liu Yan1, Jiao Yongchang1, Zhang Yaming2,3, Cheng Wei3 |
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1. National Key Lab of Antennas and Microwave Technology, Xidian University, Xi'an 710071, China;
2. School of Electronics Engineering, Xi'an Shiyou University, Xi'an 710065, China;
3. Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an 710129, China |
| Abstract: |
| The traditional pattern synthesis of array antennas is analyzed and solved as a multi-objectiveoptimization problem, and a new algorithm called multi-objective invasive weed optimization based ondecomposition(MOEA/D-IWO) is proposed by integrating the improved invasive weed optimization algorithm intothe framework of the multi-objective evolutionary algorithm based on decomposition. The proposed algorithm com-pletes the parallel calculations efficiently,through making good use of the powerful searching ability and robustnessof invasive weeds. Compared with multi-objective differential evolution based on decomposition (MOEA/D-DE),synthesis results for a 20 element linear array show that the array obtained by the proposed algorithm has 1.582 2～2.115 1 dB sidelobe level reduction, 4.429 6 dB nulls reduction and 4.665 7 dB notches reduction. Through the ex-periments,MOEA/D-IWO shows better performance in computation accuracy,convergence speed and solution di-versity. |
| Key words:
antenna arrays
convergence of numerical methods
decomposition
directional patterns(antenna)
efficiency
evolutionary algorithms
experiments
functions
fuzzy set theory
membership functions
multiobjective optimization
optimization
vectors
invasive weed optimization
notches
nulls
pattern synthesis
sidelobe reduction
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| 收稿日期: 2014-04-12
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(61401360)资助 |
| 通讯作者:
Email： |
| 作者简介: 刘燕(1982-)，女，西安电子科技大学博士研究生，主要从事天线算法研究。
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| 相关功能 |
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| 作者相关文章 |
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| 刘燕 在本刊中的所有文章 |
| 焦永昌 在本刊中的所有文章 |
| 张亚明 在本刊中的所有文章 |
| 程伟 在本刊中的所有文章 |
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参考文献: |
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