Direct sequence spread spectrum (DSSS) signal is generated by modulating the pseudo random
noise (PN) sequence with the data signal. The receiver must generate the same PN sequence to
extract the direct sequence signal and then get the data signal. This paper presents a method to
separate the PN sequence and data sequence from DSSS signal using adaptive blind deconvolution
technique which utilizes the normalized cumulant of the adaptive signal. To minimize the
computation burden the process gain is first estimated and is used in the adaptation process. The
process gain estimator is also based on the computation of the normalized cumulant. Moreover, an
efficient method that can enhance the direct-sequence spread spectrum (DSSS) signal at the receiver
is introduced without complicating traditional slipping and tracking schemes. Both theoretical
analysis and computer simulations verify the validity of the proposed method.