计算机技术与发展2017，Vol.27Issue(1)：147-151,5.DOI:10.3969/j.issn.1673-629X.2017.01.033
小生境遗传算法在天线方向图中的优化
Optimization of Niche Genetic Algorithm in Antenna Pattern
摘要
Abstract
Car mobile communications system refers to the realization of satellite communications earth station in a moving vehicle,since the real-time motion characteristics,the system is needed to find the target point with strongest satellite signal,which is the point of maxi-mum AGC signal strength. In general,according to local longitude and latitude for the earth station system and longitude of the target sat-ellite,the corresponding points with maximum satellite field strength can be calculated by the theoretical formula. However,due to some other factors,such as local weather,temperature,humidity,and other confounding factors,the target point is found in the side lobe and not in the main lobe,and side lobe signal strength is low,which cannot meet the communication requirements. The basic principles of satellite communication is introduced briefly,and under normal circumstances,according to the derivation of the maximum point of the satellite field theory formula,the niche genetic algorithm is focused to describe the implementation of adaptive multimodal global function to find the optimal solution and algorithm in satellite communication. The genetic algorithm is a kind of method to find the optimal solution mod-eled on the natural biological process in evolution theory of survival of the fittest. Practice has proved that it has good practicability.关键词
动中通/卫星天线/小生境遗传算法/自适应交叉Key words
motion/satellite antenna/niche genetic algorithm/adaptive crossover分类
信息技术与安全科学引用本文复制引用
程晨..小生境遗传算法在天线方向图中的优化[J].计算机技术与发展,2017,27(1):147-151,5.基金项目
国家自然科学基金资助项目(61271234) （61271234）
