通过改进的粒子群优化和模拟火,优化插入式矩形微条纹补丁天线
Jakkuluri Vijaya Kumar1, S Maflin Shaby1
1School of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
概括
本研究引入了一种改进的粒子群集优化 (PSO-SA) 算法,以优化微条纹补丁天线 (MPA) 以获得更好的收益和减少无线通信中的返回损失. 优化的天线显示 Ku 波段和 C 波段应用的性能指标得到了改进.
科学领域:
- 天线理论和设计.
- 电磁学 电磁学 电磁学 电磁学
- 无线通信系统无线通信系统
背景情况:
- 现代无线系统需要具有高增益,低隐形和可靠性的天线.
- 现有的微条纹补丁天线 (MPA) 设计往往受到低增益和高回报损失的影响.
- 优化天线几何尺寸对于提高性能至关重要.
研究的目的:
- 为了优化嵌入式直角微条纹补丁天线的几何尺寸 (宽度和长度).
- 为了增强天线增益,并最大限度地减少 Ku 波段和 C 波段应用的返回损失.
- 评估拟议的PSO-SA优化方法的有效性.
主要方法:
- 使用了改进的粒子集群优化 (PSO) 算法与模拟化 (PSO-SA) 相结合.
- 优化了天线参数,包括基板高度,介电常数,共振频率,宽度和高度.
- 使用Feedforward神经网络 (FNN) 在PSO-SA算法中计算适应性值.
- 在 MATLAB 软件中实现天线设计和优化.
主要成果:
- 为Ku频段和C频段应用实现了优化的天线设计,增益和返回损失得到改善.
- 使用辐射模式,返回损失,VSWR,增益,定向性,计算时间和收速度来评估性能.
- 证明了PSO-SA方法在提高MPA性能方面的有效性.
结论:
- 该PSO-SA算法有效优化微条纹补丁天线,以提高无线通信的性能.
- 拟议的方法为设计特定频段的高收益低损失天线提供了可行的解决方案.
- 进一步的研究可以探索这种方法对其他天线类型和频率范围的应用.
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