利用目标到达角 (DOA)和到达时间 (TOA)作为测量数据 ,采用最优加权最小二乘估计和基于机动加速度的非零均值时间相关模型的自适应卡尔曼滤波算法 ,通过加速度方差对滤波增益的修正 ,完成机动加速度方差自适应算法 ,实现了对机动目标进行单站无源定位与跟踪的方法。计算机仿真验证了算法的有效性和可行性 ,证明该方法在无源定位系统中有一定的参考价值 Using the DOA and TOA as the measurement data, the adaptive weighted Kalman filtering algorithm based on the optimal weighted least squares estimation and the nonzero average time-dependent model based on maneuver acceleration was used to measure the gain of the filter , The algorithm of self-adapting to maneuver acceleration is completed, and the method of single-station passive location and tracking of maneuvering target is realized. Computer simulation verifies the effectiveness and feasibility of the algorithm and proves that this method has certain reference value in passive location system