在基于角度信息的约束总体最小二乘无源定位算法的基础上,文中基于角度信息的无源定位问题转化为结构总体最小二乘问题,并通过逆迭代法求出定位问题的解.文中还阐述了在一定条件下结构总体最小二乘算法与约束总体最小二乘算法具有相同的定位均方误差.最后还将结构总体最小二乘算法与Kalman滤波相结合,给出了一种对运动目标进行定位跟踪的新算法.计算机仿真结果验证了文中新算法的有效性和优越性. Based on the constrained global least squares passive location algorithm based on angle information, the passive localization problem based on angle information is transformed into the global least squares problem, and the solution to the localization problem is obtained by the inverse iteration method. The results show that under certain conditions, the total structure least squares algorithm has the same mean square error as the constrained total least squares algorithm.Finally, the whole structure least square algorithm is combined with Kalman filter, A new algorithm for location and tracking.The computer simulation results verify the effectiveness and superiority of the new algorithm in the paper.