Abstract: Short-wave (SW) blind channel separation has crucial application to military SW communication information scout. In this paper, blind channels separation of the captured SW communication signal, on condition that the number of blind channels and the bandwidth of each blind channel are both unknown, and blind channel frequency spectrum isn't overlapped with each other, is investigated. Combining wavelet analysis with Fourier transform, a self-adaptive SW blind channel separation algorithm is proposed. Simulation results show that the proposed SW blind channel separation algorithm is of high separation precision and stronger anti-noise-interference ability.