We propose a line-of-sight (LOS)/non-line-of-sight (NLOS) mixture source localization algorithm that utilizes the\nweighted least squares (WLS) method in LOS/NLOS mixture environments, where the weight matrix is determined in\nthe algebraic form. Unless the contamination ratio exceeds 50 %, the asymptotic variance of the sample median can\nbe approximately related to that of the sample mean. Based on this observation, we use the error covariance matrix\nfor the sample mean and median to minimize the weighted squared error (WSE) loss function. The WSE loss function\nbased on the sample median is utilized when statistical testing supports the LOS/NLOS state, while the WSE function\nusing the sample mean is employed when statistical testing indicates that the sensor is in the LOS state. To testify the\nsuperiority of the proposed methods, the mean square error (MSE) performances are compared via simulation.
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