中文摘要：

针对广义最小二乘算法在WGS-84坐标系中存在收敛速度慢及收敛性能不稳定的问题,提出了一种改进的广义最小二乘算法.该算法以收敛步数作为最小二乘算法中的量测精度加权因子,使得量测精度随着步数的变化而变化,从而实现了收敛步数的减少和收敛之后稳定性的改善,提高了目标跟踪定位的性能.仿真结果表明,改进的广义最小二乘算法优于广义最小二乘算法,进一步验证了该算法的有效性.

英文摘要：

Aimed at the low convergence rate and unstable convergence performance of the generalized least squares algorithm on WGS-84 coordinate,a modified generalized least square algorithm was proposed which took convergence steps as the weighting factor for measurement accuracy of the generalized least squares algorithm,making measurement accuracy vary with the changes of steps in order to achieve the decrease of the convergence steps and the advance of the stability after convergence.So this algorithm improves the performance of target tracking and positioning.Simulation results show that the modified generalized least square algorithm is superior to the generalized least square algorithm,verifying the feasibility of the proposed algorithm.