卫星移动终端增强型卡尔曼滤波协同自主定位算法

针对单星、多终端协作定位，提出了一种基于卡尔曼滤波的静止轨道卫星移动终端协同自主定位算法。利用同波束内的未定位移动终端进行信令交互，获取卫星与波束中心参数进行最小二乘粗估计，再采用卡尔曼滤波对粗估计坐标二次优化。仿真结果表明，基于卡尔曼滤波的静止轨道卫星移动终端协同自主定位算法可在单星场景下实现较精确的终端定位，且在协作终端数量增加时能降低定位误差的波动范围，提高定位稳定性。

A Satellite Mobile Terminals Cooperative Autonomous Positioning Algorithm Based on Enhanced Kalman Filter

In order to improve satellite mobile communication system’s capability to carry out independ-ent and accurate location, a satellite mobile terminals cooperative autonomous positioning algorithm based on Kalman filter(K -ACT) is proposed . Utilize unlocated user terminals in the same beam to execute signal interaction, acquire center parameters of satellites and beams through satellite broadcasting chan-nel, and carry out Kalman filter optimization to finalize accurate coordinates. The result of simulation suggests that K-ACT algorithm is capable of realizing relatively accurate user terminal location, and fluc-tuation of location decreases as the number of assistant user terminals increases, resulting in higher stabil-ity of location.