| 摘要: |
| 传统的星载无源定位系统对空中辐射源定位求解通常采用假设高程的方法，高程假设误差将对定位跟踪精度造成较大影响。为实现未知高程运动辐射源的高精度定位跟踪，针对异轨三星构型的无源定位系统，提出了一种基于时差、频差和二维测向融合的迭代扩展卡尔曼滤波（Iterative Extended Kalman Filter,IEKF）跟踪方法。在WGS-84坐标系下建立了状态方程和观测方程，并采用IEKF方法对目标状态进行估计。仿真结果表明，该方法可对未知高程的运动目标进行高精度状态估计，典型仿真场景下的目标高程估计精度达到百米量级，相对于已有方法收敛时间更短，并且在卫星覆盖范围内具有更大的高精度定位跟踪区域。 |
| 关键词: 星载无源定位 目标跟踪 迭代扩展卡尔曼滤波(IEKF) |
| DOI：10.20079/j.issn.1001-893x.220609005 |
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| 基金项目: |
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| A Moving Target Tracking Method Based on Fusion of TDOA/FDOA/DOA |
| XU Haiyuan,SU Chengxiao,WANG Huaxing |
| (Beijing Institute of Remote Sensing Information,Beijing 100011,China) |
| Abstract: |
| In the traditional satellite-borne passive location system,the assumed height is usually used to locate the airborne emitter,and the height assumption error will have a great impact on the positioning and tracking accuracy.In order to realize high-precision positioning and tracking of moving emitter with unknown height,a tracking method in the passive location system composed of three satellites in different orbits is proposed,which integrates time difference of arrival(TDOA),frequency difference of arrival(FDOA) and two-dimensional direction finding information.Firstly,the state equation and observation equation are established in WGS-84 coordinate system,and then the Iterative Extended Kalman Filter(IEKF) is used to estimate the target state.Simulation results show that this method can perform high-precision state estimation for moving targets with unknown height.The accuracy of target height estimation in typical simulation scenarios can reach the order of hundreds of meters.Compared with the existing methods,the proposed method has shorter convergence time and larger high-precision tracking area. |
| Key words: satellite-borne passive location target tracking iterative extended Kalman filter(IEKF) |
