空间目标跟踪过程中, 航迹中断会严重干扰航迹融合及加重传感器负担, 因此, 空间目标断续航迹关联算法研究意义重大。针对传统断续航迹关联算法中直线外推得到的预测航迹具有较大误差, 从而导致关联不准确的问题, 提出基于轨迹预报的空间目标断续航迹关联算法。该算法基于动力学方程对空间目标进行跟踪, 对中断前滤波更新值进行曲线拟合得到预报初值点, 并结合目标动力学模型进行轨迹预报, 将预测数据与中断后新起始航迹前几个时刻的状态更新值进行关联配对, 实现空间目标中断前后航迹的关联融合。仿真实验结果验证了所提算法的有效性。

The track interruption problem that appears in the space-target tracking process will seriously disturb the track fusion and increase the loads of the sensors.Therefore, the study on the spatial target intermittent track correlation algorithm is of great significance.In the traditional intermittent track correlation algorithm, the track obtained by linear extrapolation prediction has big error, which may lead to inaccurate association. Therefore, a spatial target intermittent track correlation algorithm based on trajectory prediction is proposed in the paper. The algorithm tracks the space target based on the dynamic equation, and makes curve-fitting to the filter update value before the interruption to obtain the predicted initial value point. The trajectory prediction is then combined with the target dynamic model. The predicted data is correlated and matched with the state update values of the first few moments after the interruption, to achieve the correlation fusion of the track before and after the interruption. Finally, the simulation results verify the effectiveness of the proposed algorithm.