基于MLAT定位解析算法研究综述

Review on MLAT based Surveillance and Location Parsing Algorithms

为切实提高航空安全水平,提高机场利用率、减轻管制人员的工作负荷,实现准确及时地监视目标飞机位置是维持机场内部安全有效运行的基础。多点定位系统(MLAT)作为新兴场面监视技术,可对监视点精准实时可靠定位,对MLAT的研究已经成为国际民航界的一个研究热点。综述了多点定位算法的研究现状;重点分析了基于到达时间差(TDOA)下的定位解析算法,依据算法特性将其分为基于迭代形式、解析转化形式及智能混合算法形式,对存在的问题进行归纳总结,并对多点定位技术的潜在发展方向做出展望。

In order to effectively improve the level of aviation safety,improve the utilization rate of the airport,reduce the workload of the control personnel,and achieve accurate and timely monitoring of the location of the target aircraft is the basis for maintaining the safe and effective operation of the airport.As an emerging scene monitoring technology,the multi point positioning system(MLAT)can accurately and reliably locate the monitoring points in real time,and the research on MLAT has become a research hotspot in the international civil aviation community.This paper reviews the research status of multi point positioning algorithms.The positioning analysis algorithm based on the arrival time difference(TODA)is analyzed,and divided into iterative form,analytical transformation form and intelligent hybrid algorithm form according to the characteristics of the algorithm,the existing problems are summarized and summarized,and the potential development direction of multi point positioning technology is prospected.