Title:
ABlindEstimationAlgorithmforPNSequenceinDSSSSignal
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Description: 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).
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A Blind Estimation Algorithm for PN Sequence in DS-SS Signals.pdf
