结合正则化求解的机场场面多点定位方法  

Multilateration method for airport surface surveillance based on regularization

作　　者：戴敏[1] DAI Min(School of Computer,Civil Aviation Flight University of China,Guanghan 618307,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：《计算机工程与设计》2021年第10期2995-3000,F0003,共7页Computer Engineering and Design

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

摘　　要：针对机场场面飞机多点定位(MLAT)方法存在精度不高且抗观测误差能力低的问题,提出一种结合Tikhonov正则化的高精度多点定位方法。将场面接收站测量的到达时差(TDOA)数据构建成一个数值模型,形成待求解的逆问题;采用Tikhonov正则化方法来求该问题获得飞机位置,以此解决病态性问题所引起的估计不稳定;为使求解过程对误差敏感性与解精确性之间折中,通过L-曲线法对Tikhonov正则化参数进行选择。仿真结果表明,该方法能够实现高精度的GDOP覆盖,对TDOA测量误差具有很好的鲁棒性。To solve the problems of low accuracy and low resistance to observation error in the multilateration(MLAT)method of airport surface surveillance,a high-precision MLAT method combined with Tikhonov regularization was proposed.The TDOA data measured by the surface receiving station were constructed into a numerical model to form an inverse problem.Tikhonov regularization method was used to solve this problem and obtain the aircraft position,so as to solve the estimation instability caused by the ill conditioned problem.To make the compromise between error sensitivity and solution accuracy,the Tikhonov regularization parameters were selected using L-curve method.The simulation results show that the method can achieve high precision GDOP coverage,and has good robustness to TDOA measurement error.

关 键 词：机场场面监控 多点定位 TDOA数据模型 TIKHONOV正则化 测量误差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]