基于混合滤波的ADS-B实时监视漏点处理

Dropouts Processing in ADS-B Real-time Monitoring Based on Hybrid Filtering

针对变维卡尔曼滤波在ADS-B实时监视中的漏点实时处理效果欠佳的问题,提出了一种位置/速度混合滤波方法。根据ADS-B报文位置和速度信息不同时下发的特点,对变维卡尔曼滤波进行改进。设计了位置和速度两种量测方程,根据报文的类别选取不同的量测方程,利用报文中的速度(位置)和导航准确度类别对当前时刻的位置(速度)进行估计,有效改善了航迹的漏点问题。算法仿真结果表明,与变维卡尔曼滤波相比,本方法处理后的航迹点时间间隔更接近ADS-B报文的下发周期,对延时影响更小。

Due to the bad real-time performance of variable dimension Kalman filter in dealing with the leakage of ADS-B real-time monitoring, a position/speed hybrid filter method is proposed. The variable dimension Kalman filter is improved based on the characteristic that the position message and the velocity message of ADS-B message are sent at different time. Two measurement equations for position and speed are designed, and different measurement equation is selected according to message category. The speed/position and navigation accuracy category in message is utilized to estimate the position/speed of present moment, so as to effectively solve the problem of data dropouts. Experimental results show that compared with the variable dimension Kalman filter, the track time interval processed by the proposed methodis closer to the information transmission cycle of one second and has less impact on the delay.