基于时差频差角度的低轨双星动目标融合跟踪方法

针对低轨双星时差频差定位系统在对运动目标定位中忽略其运动速度会引起较大的定位偏差以及定位跟踪的初值选取等问题，提出了一种对运动目标的双星时差频差信息融合主星的二维到达角（AOA）信息的融合无源跟踪新方法。首先建立测量模型和等高程目标运动状态模型，在此基础上采用扩展卡尔曼滤波（EKF）方法对运动目标进行跟踪定位。仿真分析表明，该方法可达到克拉美‐罗下限（CRLB ），且收敛后对目标的速度和航向估计有较大的提高。

Tracking method of moving target fusion for low orbit dual-satellite based on TDOA/FDOA/AOA

For the problem that TDOA and FDOA based on dual‐satellite geolocation system ,when the target is moving ,the unknown velocity of the target leads to large localization errors and initialization problem of the tracker .The angle of arrival (AOA) measurement is introduced to improve the observability of dual‐satellite system and proposes a target tracking method of hybrid TDOA/FDOA/AOA location system . Firstly ,the measurement model and elevation target motion state model are established ,and then the extended Kalman filter (EKF) is adopted to track the moving target .The simulation results prove that the hybrid TDOA/FDOA and AOA tracking method can achieve cramer‐rao lower bound (CRLB) and obviously improve the accuracy of the velocity and location estimation .