联合多雷达与ADS-B的监视数据融合与误差配准方法  

作　　者：王吉 

机构地区：[1]中国民用航空东北地区空中交通管理局黑龙江分局,黑龙江哈尔滨150006

出　　处：《科技创新与应用》2022年第6期22-24,共3页Technology Innovation and Application

摘　　要：广播式自动相关监视系统由于存在检测环境、目标数量和运动模式动态变换的问题,导致空域多目标跟踪过程具有大量未知干扰与不确定性,降低了组网系统的数据处理精度。提出联合多雷达和ADS-B系统并采用自适应交互式多模型滤波算法进行多传感器跟踪和数据融合。该方法能够降低雷达航迹数据的平均斜距与方位角分量的误差和时空不确定性,优化ADS-B系统的精度与稳定性。Due to the problem of the detection environment,the number of targets and the dynamic change of the motion pattern in the broadcast automatic correlation monitoring system,the airspace multi-target tracking process has a lot of unknown interference and uncertainty,which reduces the data processing accuracy of the networking system.A joint multi-radar and ADS-B system is proposed,and an adaptive interactive multi-model filtering algorithm is used for multi-sensor tracking and data fusion.This method can reduce the error and time-space uncertainty of the average slope and azimuth components of the radar track data,and optimize the accuracy and stability of the ADS-B system.

关 键 词：多雷达 广播式自动相关监视 监视数据融合 误差配准 

分 类 号：V355.1[航空宇航科学与技术—人机与环境工程]