Blind despreading of the long-code direct sequence spread spectrum signal

The problem of blind despreading of the long-code direct sequence spread signal is addressed in this paper. A novel algorithm applicable in blind despreading algorithm of the long-code direct sequence spread spectrum signal is presented in this paper. The algorithm exploits the structure of the signal and a monotone missing-data model subject to low rank is constructed. Based on the maximum likelihood estimate of the covariance matrix for this model, the spreading waveform is identified by eigen-decomposition. Simulations demonstrate that the proposed algorithm provides good results in the case of low signal-to-noise ratio (SNR). The proposed algorithm can be used in non-cooperation applications.