A Blind Estimation Algorithm for PN Sequence in DS-SS Signals
Li Jiang, Hongbing Ji, Lin Li · 2006
In this paper, a method for fast blind estimation of DS-SS signal is proposed which aims at the direct-sequence spread-spectrum (DS-SS) signals with parameters unknown. Considering the characteristic that pseudo-random noise (PN) sequence modulates the information symbol, we make use of the method based on the second-order cyclic-cumulant to estimate the period of PN sequence, and then the method of segmented cross-correlation to estimate the synchronous start bit between the information symbols and the PN codes. On base of this, a method of multiple subsection cross-correlation average is used to estimate the PN sequence. Computer simulations show that the method can work well on signals at low signal noise ratio (SNR)