A Blind Estimation Algorithm for PN Sequence in DS-SS Signals

Author

Jiang, Li ; Ji, Hongbing ; Li, Lin

Author_Institution

Sch. of Electron. Eng., Xidian Univ., Xi´´an

Volume

3

fYear

2006

fDate

16-20 2006

Abstract

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)

Keywords

higher order statistics; pseudonoise codes; random noise; sequential codes; spread spectrum communication; DS-SS signals; PN sequence; SNR; blind estimation algorithm; direct-sequence spread-spectrum signals; pseudo-random noise sequence; second-order cyclic-cumulant; segmented cross-correlation; signal noise ratio; Autocorrelation; Computer simulation; Decoding; Frequency estimation; Modulation coding; Polynomials; Pulse generation; Sampling methods; Signal to noise ratio; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.345866

Filename

4129304