CAJ | 학술논문

航管多雷达数据和ADS-B数据各有优缺点，在分析了两类数据异同基础上指出了ADS-B数据引入航管多雷达数据处理中需要解决的关键技术难题。基于此，从探测时序和处理周期两方面给出了时间对准方法，研究了空间对准中的坐标转换及其误差配准技术，提出以当前模型和无迹卡尔曼滤波应对目标机动，给出了波门设定、最近邻相关以及融合算法的完整数据融合方案。实际应用中两类数据实现了有效利用和深度融合，提高了航管监视数据处理系统的精度和稳定性，是一种有效的航管监视数据处理方法。
항관다뢰체수거화ADS-B수거각유우결점，재분석료량류수거이동기출상지출료ADS-B수거인입항관다뢰체수거처리중수요해결적관건기술난제。기우차，종탐측시서화처리주기량방면급출료시간대준방법，연구료공간대준중적좌표전환급기오차배준기술，제출이당전모형화무적잡이만려파응대목표궤동，급출료파문설정、최근린상관이급융합산법적완정수거융합방안。실제응용중량류수거실현료유효이용화심도융합，제고료항관감시수거처리계통적정도화은정성，시일충유효적항관감시수거처리방법。
The key points of data process based on ADS-B and multi-radar data are summarized after analyzing and comparing the differences between the two categories of data. Considering of these key points, an alignment of time method is presented from points of time schedule and process cycle view, alignment of space method is studied including coordinate transformation and bias registration, current model and unscented Kalman filter algorithm is proposed for maneuvering targets, also the association gate method, global nearest neighbor algorithm and fusion algorithm are further presented. Application of surveillance data process-ing system using ADS-B and multi-radar data achieves great success, improves not only the track precision but also the stability.