基于免疫优化算法的iGPS发射器布局优化方法  

Placement Optimization of iGPS Transmitter Based on Immune Optimization Algorithm

作　　者：范景韬 黄翔[1] 曾琪[1] 赵子越[2] 石竹风 Fan Jingtao;Huang Xiang;Zeng Qi;Zhao Ziyue;Shi Zhufeng(College of Mechanical and Electronic Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,Jiangsu 210016,China;AVIC Beijing Changcheng Institute of Metrology&Measurement,Beijing 100095,China)

机构地区：[1]南京航空航天大学机电学院,江苏南京210016 [2]航空工业北京长城计量测试技术研究所,北京100095

出　　处：《激光与光电子学进展》2021年第11期230-238,共9页Laser & Optoelectronics Progress

摘　　要：为了获得更优的发射器布局,使系统达到更高的定位精度,提出一种基于免疫优化算法的iGPS发射器布局优化方法,根据系统的测量原理得到该系统的测量不确定度模型,由此建立亲和度函数,使用免疫优化算法对发射器布局进行优化,并通过仿真进行验证。结果表明:所提方法可以显著优化发射器布局,提高系统的测量精度;与遗传算法相比,免疫优化算法具有更好的全局寻优效果,可以得到更优的iGPS发射器布设站位。To obtain a better transmitter layout and enable the system to achieve higher positioning accuracy,we propose an i GPS transmitter layout optimization method based on an immune optimization algorithm. According to the system’s measurement principle,we obtain the measurement uncertainty model of the system. Besides,we establish the affinity function and utilize the immune optimization algorithm for optimizing the transmitter layout.Finally,we verify the results through the simulation. The simulation analysis shows that the proposed method can significantly optimize the transmitter layout and improve the system’s measurement accuracy. Thus,the immune optimization algorithm has a better global optimization effect than the genetic algorithm and can obtain better placement of transmitters.

关 键 词：测量 布局优化 交汇测量 iGPS 免疫优化算法 

分 类 号：TH711[机械工程—测试计量技术及仪器]