计算机工程Issue(6)：316-321,6.DOI:10.3969/j.issn.1000-3428.2015.06.057
基于最小二乘与Taylor级数展开的新型混合定位方法
New Method of Hybrid Location Based on Least Square and Taylor Series Expansion
摘要
Abstract
In order to identify spoof target in Automatic Dependent Surveillance Broadcast(ADS-B) system,a new hybrid location method is proposed by combining Time Difference of Arrival( TDOA) and Time Sum of Arrival( TSOA) to obtain the real space location,identify the spoof target by comparing with the location data in ADS-B message. In order to effectively improve location accuracy, in this paper, the least square algorithm is used to get initial location result, acting as the initial value in Taylor series iteration to get accuracy results. Simulation results show that this mixed algorithm can solve the convergence problem of Taylor method. With the same arrangement of ground stations,the new hybrid method shows better accuracy and is more stable than traditional TDOA location method.关键词
到达时间和/到达时间差/混合定位/Taylor级数展开/最小二乘Key words
Time Sum of Arrival(TSOA)/Time Difference of Arrival(TDOA)/hybrid location/Taylor series expansion/Least Square(LS)分类
信息技术与安全科学引用本文复制引用
方姝,倪育德,刘逸,常瀛心,吴添成..基于最小二乘与Taylor级数展开的新型混合定位方法[J].计算机工程,2015,(6):316-321,6.基金项目
中央高校基本科研业务费专项基金资助项目(ZXH2011C013) （ZXH2011C013）
国家空中交通管制委员会科研委基金资助项目(GKG201410004)。 （GKG201410004）
