基于量子粒子群优化的短波相控阵天线的激励优化研究

范启蒙; 尹成友; 廖飞龙

doi:10.11999/JEIT160819

基于量子粒子群优化的短波相控阵天线的激励优化研究

doi: 10.11999/JEIT160819

1.
(解放军电子工程学院合肥 230037) ②(陆军军官学院合肥 230037)

基金项目:

安徽省自然科学基金(1408085QF121)

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出版历程
- 收稿日期: 2016-08-03
- 修回日期: 2017-01-20
- 刊出日期: 2017-07-19

Analysis of Excitation Optimization of Short Wave Phased Array Based on Quantum-behaved Particle Swarm Optimization

1.
(Electronic Engineering Institute of PLA, Hefei 230037, China)
2.
(Army Officer Academy of PLA, Hefei 230037, China)

Funds:

The Natural Science Foundation of Anhui Province (1408085QF121)

摘要

摘要: 为加强短波装备远距离通信和电子对抗的干扰能力，须提高近地架设的宽带短波相控阵天线的性能，该文首先利用矩量法建立分析天线阵列的基本框架，然后再结合空域格林函数将天线剖分子模的辐射场分解成自由空间部分和含索末菲积分的部分，前者可以直接得到闭式表达，后者采用二级离散复镜像方法得到近似解，经过处理，阻抗矩阵填充速度极大提高。然后基于阻抗矩阵，结合网络理论并利用量子粒子群优化方法(QPSO)对阵列的激励相位进行优化，以控制波束指向和提高增益，能够在电离层参数随时空变化情况下，灵活地完成点对点天波传播，有较高的实际应用价值。
- 天波传播 /
- 矩量法 /
- 快速算法 /
- 最优激励 /
- 量子粒子群优化算法
Abstract: In order to enhance long-distance communication performance and jamming ability in electronic warfare for shortwave equipment, performance improvement of near-ground wideband short wave phased array is required. Firstly, method of moments is adopted to construct the analysis framework, then the radiation field of antenna elements is decomposed into free-space part and Sommerfeld-integral part with the help of formulation of spatial Green,s function, the former part can be expressed in closed form and the latter part can be approximated by two-level DCIM. After that, the efficiency of filling impedance matrix is enormously increased. Finally, based on the impedance matrix, combining with network theory, Quantum-behaved Particle Swarm Optimization (QPSO) is employed to search for optimal excitation phases, through which high gain and beam scanning are realized. Furthermore, point-point sky wave propagation is implemented neatly in the condition of temporal and spatial variation of ionosphere parameters, thus the array is of great value in practical applications.
- Sky wave propagation /
- Method of Moments (MoM) /
- Fast algorithm /
- Optimal excitation /
- Quantum- behaved Particle Swarm Optimization (QPSO)

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参考文献(25)

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