| 摘要: |
| 根据直角坐标系的目标运动模型和无源多点时差定位系统(MLAT)的特点，推导出了一种到达时间差（TDOA)状态模型方程，并基于该模型方程，设计了一种TDOA跟踪滤波器。与传统TDOA状态模型方程相比，所推导出的状态模型方程和滤波器不但能提高TDOA的估计精度，还可更有效地消除非视距（NLOS）成分。仿真和实测数据证实了所推导状态模型方程和所设计跟踪滤波器的有效性。 |
| 关键词: 机场场面监视 多点时差定位系统 TDOA状态模型 卡尔曼滤波 非视距误差消除 |
| DOI： |
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| 基金项目:国家自然科学基金委员会与中国民用航空局联合资助项目(U1433129)；四川省教育厅基金项目(13ZB0287)；机场航空移动5G通信系统(14014J0340030) |
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| A TDOA state model for MLAT surveillance system at airport surface |
| WU Honggang,PENG Wei,JIN Lijie,HE Donglin |
| () |
| Abstract: |
| According to the characteristics of target motion model in the Cartesian coordinates and multilateration(MLAT) system,this paper deduces a state model based on time difference of arrival(TDOA),and then designs a related tracking filter using the model. Compared with traditional TDOA state model filters,this deduced filter can not only improve the estimated accuracy of TDOA but also remove non-line-of-sight(NLOS) components effectively. The simulation and practical measured data has verified the correctness and effectiveness of above conclusion. |
| Key words: airport surface surveillance MLAT system TDOA state model Kalman filter NLOS error removing |
