A block-based Wiener filter is proposed for the source localization problem under an additive measurement error model. In this paper, we expand the Wiener filter, which is a single sensor case, to multi-sensor scenario. The proposed block-based Wiener filter method proves to be more efficient than the existing methods under various noise situations when the length of data set is more than two and as the number of data set increases, the performance is improved.