In order to solve the problem of multiple access interference of soft spread spectrum signals, this paper adopts the Fast-ICA algorithm to realize the blind separation of soft spread spectrum multiaccess signals of Walsh code by taking advantage of the fact that different users’ information is independent from each other and spread spectrum codes are not related. The algorithm is used to group the received signals according to the known pseudocode rate and pseudocode period, the PCA algorithm is used to realize the dimensionless whitening of the grouped signals to eliminate the correlation between the signals, and finally the Fast-ICA algorithm is used to realize the blind separation of soft spread spectrum multiple access signals and the pseudocode sequence estimation. The algorithm is characterized by blind separation of soft spread spectrum multiple access signals with known pseudocode rate and pseudocode period. The simulation results show that the proposed algorithm can achieve the blind separation of soft spread spectrum multiple access signals and the estimation pseudocode sequences, which is Walsh code of no more than 5 users in the range of a certain signal noise ratio.