由于测量矩阵和方位噪声之间的相关性，我们已知的发射极定位的线性最小二乘算法，如伪线性估计器，具有较大的估计偏差。本文提出了一种新的基于闭型的发射器定位算法，该算法克服了这种偏倚，利用了比定位估计的辅助变量。通过计算机模拟，新算法的性能优于伪线性估计器，同时具有与计算成本更高的极大似然发射器相同的性能。(Because of the correlation between the measurement matrix and azimuth noise, we have known that the linear least squares algorithm of emitter positioning, such as pseudo linear estimator, has a large estimation deviation. In this paper, a new kind of closed - based emitter localization algorithm is proposed, which overcomes this bias, and USES the auxiliary variable of the position estimation. Through computer simulation, the performance of the new algorithm is better than that of pseudo-linear estimator, and it has the same performance as the maximum likelihood emitter with higher computational cost.)