The invention relates to a low-complexity balancing method which is used in a
spread spectrum communication
system based on iterative interference cancellation, and belongs to the technical field of
wireless communication. The method includes the following steps: in the
pilot stage when receiving a
signal, a channel is estimated using such methods as glide correlation and least square to get an
estimation value of compound channel responses; for each compound channel response, L paths with
maximum amplitude are selected from KNc paths, and the values of the other paths are assigned as zero; the channel responses are fragmented, Nc paths in each section form a channel
response vector, and M vectors belonging to the k section form a channel response matrix; a correlation value register and a provisional decision variable register are initialized; in a
numeric data code element stage when receiving the
signal, the iterative interference cancellation is acted according the sequence of the
numeric data code element to get a final decision value of an emitting code element. The invention greatly reduces the calculation amount of the tap selection and the coefficient training, but the performance thereof surpasses a linear balancing method which arranges the tap according to the maximum path position.