基于改进粒子群算法的阵列天线幅相容差设计

由于幅相误差会导致天线性能下降，幅相容差设计方法是阵列天线的关键技术。本文首先建立了阵列幅相误差对天线性能的最坏情况分析模型，通过对粒子群算法位置更新时引入扰动项和位置更新后进行边界约束，提出了一种基于改进粒子群算法的最坏情况分析方法。实验结果验证了改进粒子群算法增强了摆脱局部极小点的能力。对于给定天线性能指标情况下，为了获得幅相容差范围，通过采用进退法与二分法相结合的迭代算法，给出了一种阵列幅相容差范围的优化设计方法。该方法可以不考虑误差的分布形式，并且很容易理解和编程实现，便于工程应用。

Amplitude-phase Tolerance Design of Array Antenna by Modified Particle Swarm Optimization

Due to the effect of array amplitude-phase errors, the capability of array antenna is reduced. To analyse the sensitivity of antenna performance to amplitude-phase errors, the worst-case analysis based on modified particle swarm optimization (PSO) is presented. Applying the iterative algorithm, this paper presents worst-case tolerance design of amplitude-phase. The new method makes it needless to consider distribution of array errors, and is very easy to understand and implement. The experimental results show the effectiveness of the method.