提出了改进的结合相位差变化率和多普勒频率变化率的单站无源定位算法。该算法克服了相位差变化率法中对目标运动状态和运动高度的限制及多普勒频率变化率法中波达角变化率信息获得困难，对算法实用性的限制，将两种算法的优点有机结合起来，降低了系统对定位系统前端接收机的设计难度，从而为该算法的硬件实现打下了良好的基础，最后使用迭代扩展卡尔曼滤波算法0Er,．v)对定位结果进行了处理，提高了估计的精度。(An improved single station without phase difference rate and Doppler frequency change rate is proposed
Source localization algorithm. The algorithm overcomes the limitation and Doppler frequency variation of phase difference change height of target motion and motion rate rate of arrival angle change rate method is difficult to get information on the limits of practicality, the algorithm, the two algorithms combine the advantages, reduce the design difficulty of positioning system front-end receiver system. In order to achieve laid a good foundation for the hardware algorithm, finally using iterative extended Calman filter algorithm for positioning data processing, improve the estimation accuracy.)