非视距条件下的单站定位过程中,需借助散射体位置估计被测目标的位置,而对散射体位置的估计不可避免地要引入误差,因此在散射体位置扰动条件下对被测目标位置的估计方法研究是十分必要的.文中从系统总体误差入手,将定位的最优化问题转化为具有约束条件的极值求解问题.利用约束最小二乘方法将该极值问题等价为无约束条件的极值求解问题,最后采用Newton迭代方法来求解最优点.仿真结果验证了文中算法的有效性. In the process of single-station positioning under non-line-of-sight conditions, the position of the target needs to be estimated based on the position of the scatterer. However, the estimation of the position of the scatterer inevitably leads to the error. Therefore, Starting from the total system error, the localization optimization problem is transformed into the extreme value solving problem with constraints.Using the constrained least squares method, the extreme value problem is equivalent to no constraint The conditions of the extreme solution, and finally use the Newton iterative method to solve the optimal point.The simulation results verify the effectiveness of the proposed algorithm.