针对传统的基于角度及其变化率等UAV机载定位系统作战区域小,精度低,跟踪收敛速度慢等缺点,提出了在相位差及其变化率的基础上引入多普勒频率信息进行UAV机载定位跟踪的新方法.考虑目标不同的运动状态,对模型进行了推导和分析,采用修正协方差的扩展卡尔曼滤波(MVEKF)算法进行数据处理.通过计算机仿真,改变目标的速度,对结果进行了比较.证实将多普勒频率和相位差信息相结合进行定位跟踪时,降低了UAV导航设备的精度与目标未知的初始状态在计算过程中所带来的影响,有效地提高了定位精度与稳定性,扩大了UAV机载平台的任务范围.%Due to the shortcomings of small combat area, low accuracy, slow tracking convergence speed from the traditional UAV location system based on angle information, a new passive location and tracking method combining Doppler frequency and phase difference rate of change was proposed. Considering the different moving state from the target, the model was deduced and analyzed. After that, the MVEKF algorithm was introduced to do the filter processing. Changing the speed of target, the result was compared. It was demonstrated that with the combining of Doppler frequency and phase difference information, the location and tracking method decreased the influence from the precision of UAV navigation equipments and the unknown initial state of the target, availably improved the location accuracy and stability, broaden the task scope of UAV airborne platform.
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