空军工程大学学报(自然科学版)
空軍工程大學學報(自然科學版)
공군공정대학학보(자연과학판)
Journal of Air Force Engineering University (Natural Science Edition)
2015年
5期
15-19
,共5页
量化误差%相位循环法%改进遗传算法%波束指向精度
量化誤差%相位循環法%改進遺傳算法%波束指嚮精度
양화오차%상위순배법%개진유전산법%파속지향정도
Quantitative phase error%circle??phase method%improved genetic algorithm%beam pointing ac-curacy
无人机微波着陆引导设备为提高机动性减少了相控阵扫描天线阵元数目,使得扫描波束展宽、主瓣对称性变差,这会使原有馈相方法的扫描波束指向精度及其鲁棒性降低,设备保障能力减弱。针对这一问题,提出一种将相位循环法与改进遗传算法组合使用以提高扫描波束指向精度的方法。在各扫描指向上,每增加一个相位循环常量进行一次改进遗传算法优化,确定最终的各移相器输入值及其量化方式,克服相位循环法与基本遗传算法单独使用时的不足。仿真分析表明,组合方法产生的扫描波束指向精度优于随机馈相法以及基本遗传算法产生的扫描波束指向精度。
無人機微波著陸引導設備為提高機動性減少瞭相控陣掃描天線陣元數目,使得掃描波束展寬、主瓣對稱性變差,這會使原有饋相方法的掃描波束指嚮精度及其魯棒性降低,設備保障能力減弱。針對這一問題,提齣一種將相位循環法與改進遺傳算法組閤使用以提高掃描波束指嚮精度的方法。在各掃描指嚮上,每增加一箇相位循環常量進行一次改進遺傳算法優化,確定最終的各移相器輸入值及其量化方式,剋服相位循環法與基本遺傳算法單獨使用時的不足。倣真分析錶明,組閤方法產生的掃描波束指嚮精度優于隨機饋相法以及基本遺傳算法產生的掃描波束指嚮精度。
무인궤미파착륙인도설비위제고궤동성감소료상공진소묘천선진원수목,사득소묘파속전관、주판대칭성변차,저회사원유궤상방법적소묘파속지향정도급기로봉성강저,설비보장능력감약。침대저일문제,제출일충장상위순배법여개진유전산법조합사용이제고소묘파속지향정도적방법。재각소묘지향상,매증가일개상위순배상량진행일차개진유전산법우화,학정최종적각이상기수입치급기양화방식,극복상위순배법여기본유전산법단독사용시적불족。방진분석표명,조합방법산생적소묘파속지향정도우우수궤궤상법이급기본유전산법산생적소묘파속지향정도。
Microwave landing navigation system is used for UAV reducing the number of phased array scan-ning antenna to improve its maneuverability,by so doing,this makes scanning beam wide and main -beam's symmetry worse.The phenomenon can reduce the scanning beam pointing accuracy and robustness of original phasing methods,and consequently weaken the navigation ability.Aimed at the problem,a new method of the combined circle??phase method with the improved genetic algorithm is proposed to improve the scanning beam pointing accuracy.At every scanning pointing,whenever a circle??phase constant is add-ed,the genetic algorithm is improved to optimize,determine the final phase shifters'input values and quantization manners,and overcome the shortage of circle??phase method and basic genetic algorithm in u-sing alone.The simulation shows that the beam pointing accuracy produced by the combination method is superior to the beam pointing accuracy produced by random phasing methods and basic genetic algorithm.