测控技术2024，Vol.43Issue(7)：31-40,70,11.DOI:10.19708/j.ckjs.2023.11.264
基于地形网格化和遗传算法的MLAT基站选址研究
Research on Site Selection of MLAT Base Station Based on Terrain Gridding and Genetic Algorithm
摘要
Abstract
Aiming at the influence of different mulilateration(MLAT)ground station layout methods on positio-ning accuracy,a method for calculating the optimal station deployment method based on the actual terrain is proposed.This method combines the actual terrain factors to construct a terrain gridding model and generate the initial selectable stations,calculates the coverage of the ground base station by the XDraw algorithm,performs the initial screening of the initial site,and then calculates the optimal station combination by combining the ge-netic algorithm.Finally,the irregular graphic area is selected for site selection experimental verification,the ter-rain is randomly generated in the site selection area,the initial selectable point is reduced through preliminary screening,the station layout method is obtained,and the geometric accuracy factor and multi-point positioning root mean square error are calculated,and the traditional station layout method is compared,and the experi-mental data show that the station combination calculated by this method is compared with the traditional station layout method.The root mean square error of multi-point positioning is 4.015 9 m lower than that of the smal-lest diamond-shaped layout station in the traditional deployment station,and this method can be used for the lo-cation of the optimal base station of MLAT considering the actual terrain factor.关键词
无人机定位/地形网格化模型/XDraw算法/MLAT基站选址/遗传算法Key words
drone positioning/terrain gridding model/XDraw algorithm/MLAT base station site selection/ge-netic algorithm分类
信息技术与安全科学引用本文复制引用
周杨,汤新民,李帅..基于地形网格化和遗传算法的MLAT基站选址研究[J].测控技术,2024,43(7):31-40,70,11.基金项目
国家重点研发计划(2021YFB1600500) （2021YFB1600500）
