提示
基于改进果蝇优化算法的天线阵列综合
首发时间：2024-01-16
摘要：在阵列天线的实际应用中，天线阵列的方向图综合是一个会影响系统性能与成本的复杂问题。本文针对大规模天线阵列不断增长的成本与功耗问题，提出了一种改进的果蝇优化算法，并将其应用于稀布与子阵级天线阵列综合之中。算法改进的方式包括融合差分进化形式的搜索策略，并引入一种新的搜索引擎，在避免算法陷入局部最优的情况的同时提高算法在多维问题中搜索性能。通过将算法引应用在天线阵列稀布综合与子阵级阵列综合中，以方向图中多方向峰值旁瓣加权值为适应度函数，在保证性能指标的同时通过减少阵元数目获得成本与功耗的降低，在一定程度上降低了天线系统的复杂程度，验证了算法的有效性与高性能。?
关键词：
for information in english, please click here
synthesis of antenna array based on improve fruit fly optimization algorithm
abstract：in the practical application of antenna array, the pattern synthesis of antenna array is a complex problem which will affect the performance and cost of the system. in this paper, an improved fruit fly optimization algorithm is proposed to solve the problem of increasing cost and power consumption of large-scale antenna arrays, and it is applied to sparse and subarrayantenna array synthesis. the improvement of the algorithm includes the fusion of the search strategy in the form of differential evolution, and the introduction of a new search engine, which avoids the algorithm falling into the local optimum situation and improves the search performance of the algorithm in multi-dimensional problems. the algorithm is applied to sparse array synthesis and subarray synthesis, and the multi-directional peak sidelobe weight in the pattern is used as the fitness function. the cost and power consumption are reduced by reducing the number of array elements while ensuring the performance index, and the complexity of the antenna system is reduced to a certain extent, which verifies the effectiveness and high performance of the algorithm.
keywords：
基金：
论文图表：
引用
导出参考文献
no.****
动态公开评议
共计0人参与
勘误表
基于改进果蝇优化算法的天线阵列综合
评论
全部评论