基于多维度精确定位的测绘数据处理技术研究  

Research on surveying and mapping data processing technology based on multidimensional accurate positioning

作　　者：刘锋[1] LIU Feng(Xi’an Railway Vocational and Technical Institute,Xi’an 710026,China)

机构地区：[1]西安铁路职业技术学院,陕西西安710026

出　　处：《电子设计工程》2023年第16期121-125,共5页Electronic Design Engineering

基　　金：陕西省教育厅一般专项科研计划项目(21JK0859)。

摘　　要：针对传统测绘定位卫星信号易被地形遮挡的缺点,文中基于卫星信号建立了多传感器定位系统,对使用的3DDV-Hop算法从跳数、跳距及坐标计算三方面进行改进。采用双通信半径法对最小跳数进行修正,使跳数计算更加精确。并通过引入加权平均法对跳距进行改进,降低了锚点与未知节点距离较近所带来的误差。同时使用最小最大法对节点坐标进行计算,在不增加计算量的情况下提升了系统精确度。实验测试从三个方面进行了对比,所提算法的平均误差分别降低了2.1%、6.8%及5.4%,表明该算法的性能较优,可提升传统测绘定位算法的精度。Aiming at the disadvantage that the traditional mapping and positioning satellite signal is easy to be blocked by the terrain,this paper establishes a multi⁃sensor positioning system based on the satellite signal,and improves the 3DDV-Hop algorithm from three aspects:hop number,hop distance and coordinate calculation.The double communication radius method is used to correct the minimum number of hops to make the calculation of hops more accurate.By introducing the weighted average method to improve the jump distance,the error caused by the short distance between the anchor point and the unknown node is reduced.The Min⁃Max method is used to calculate the node coordinates,which improves the accuracy of the system without increasing the amount of calculation.The experimental test is compared from three aspects.The average error of the proposed algorithm is reduced by 2.1%,6.8%and 5.4%,which shows that the performance of the algorithm is better and improves the accuracy of the traditional mapping and positioning algorithm.

关 键 词：多维定位 3DDV-Hop 双通信半径法 加权平均法 最小最大法 数据处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN99[自动化与计算机技术—计算机科学与技术]