In linear regression, the least squares estimation is heavily innuenced with outlyers.

在线性回归中, 常用最小二乘估计求线性方程的回归系数.

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Compared with the least - squares estimation algorithms, the localization accuracy increases , which is verified the simulation results.

仿真实验结果显示,与最小二乘估计定位算法相比, 新算法的定位精度有所提高.

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