摘要
提出一种设计共形可重构天线阵的新方法:增强粒子群优化算法(EPSO)。在常规PSO算法的基础上,通过引入邻极值平衡速度更新,最优粒子克隆选择以及优胜劣汰等进化机制,来改善粒子群算法的全局收敛性和收敛速度。算法的有效性通过对圆柱共形阵列的方向图重构来验证。在优化设计过程中,阵列方向图直接通过叠加单元在阵列中的有源方向图来获得以提高计算结果的可靠性,而采用数字衰减器和移相器目的在于验证所提算法应用于工程实际的可行性。综合结果通过与其他算法相比较表明:所提算法的收敛速度和收敛精度得到很大程度的改善,从而证明了所提算法在天线阵列综合中的有效性。而综合结果与全波分析结果能够很好的吻合则说明了该设计过程的正确性。
A novel enhanced particle swarm optimization （EPSO） algorithm is proposed for designing conformal reconfigurable arrays. On the basis of conventional particle swarm optimization （PSO） algorithm, the proposed algorithm improves the global convergence and convergent speed of PSO by means of introducing the neighborhood best balancing velocity updating, clonal selecting the best particle and survival of the fittest strategies. Then, the effectiveness of EPSO is verified by the pattern reconfiguration of the cylindrical conformal array. During the optimized design process, the array patterns are obtained by directly importing all the active element patterns to improve the reliability of the designed results, while the quantized values of digital attenuator and phase shifter are employed in the optimization process with the purpose of testifying the implementation feasibility of the proposed algorithm in practice. Simulation results show that the convergent speed and convergence precision are significantly improved when compared with other algorithms, which reveals the effectiveness of the proposed algorithm for antenna synthesis. Besides, the well agreement between the optimized results and the ones obtained by the full-wave method indicates the validity of the proposed design process.
出处
《电波科学学报》
EI
CSCD
北大核心
2010年第3期477-484,共8页
Chinese Journal of Radio Science
基金
国家自然科学基金资助项目(编号60801039)
关键词
共形天线
粒子群优化算法
互耦
方向图可重构
conformal antennas
particle swarm optimization （PSO）
mutual coupling
pattern reconfiguration
