基于TDoA网格邻域匹配的飞机多点定位新方法  

AIRCRAFT MULTI-LATERATION BASED ON TDOA GRID NEIGHBORHOOD MATCHING

作　　者：戴敏[1] Dai Min(School of Computer,Civil Aviation Flight University of China,Guanghan 618307,Sichuan,China)

机构地区：[1]中国民用航空飞行学院计算机学院,四川广汉618307

出　　处：《计算机应用与软件》2022年第8期62-68,共7页Computer Applications and Software

基　　金：国家自然科学基金民航联合基金重点项目(U1233202/F01)。

摘　　要：针对空中交通管制中飞机多点定位(MLAT)方法存在精度和抗干扰能力低的问题,提出一种通过反向匹配的定位新思想,设计基于TDoA邻域匹配的多点定位方法。将监测空域进行网格化分割,根据地面接收站分布计算各网格中心点到各接收站的预期TDoA,构建一个预期数据库。在实际定位中测量TDoA数据,通过提出的加权k-最邻近算法将其与预期TDoA数据库进行邻域匹配来估计飞机位置。实验结果表明,该方法定位精度高,对TDoA噪声的鲁棒性强,且对地面接收站布局要求不严格。Aiming at the problems of low accuracy and anti-interference ability of multi-lateration(MLAT)in air traffic control,this paper proposes a new idea of locating by reverse matching,and designs a multi-lateration method based on TDoA neighborhood matching.We divided the monitoring airspace into grids.We calculated the expected TDoA from each grid center point to each receiving station according to the distribution of ground receiving stations,and built an expected database.The TDoA data was measured in the actual location,and was matched with the expected TDoA database to estimate the aircraft position through the proposed weighted k-nearest neighbor algorithm.The experimental results show that this method has high location accuracy,has strong robustness to TDoA noise,and has not strict requirements for ground receiving station layout.

关 键 词：空中交通管制 飞机多点定位 预期TDoA 网格邻域匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]