Adjustment by the least-squares method is optimal when the measurements contain only random errors, when the measurements contain rough errors, the results of the adjustment problem are no longer reliable. One of the most effective methods to solve this problem is to use the Huber function for a solid estimation method, but there are several different weight iteration methods. Therefore, the paper compares the ability to detect coarse errors of different weight iteration methods in estimating geodetic grids.