Journal on Communications ›› 2015, Vol. 36 ›› Issue (5): 23-30.doi: 10.11959/j.issn.1000-436x.2015121

• Academic paper • Previous Articles     Next Articles

Blind estimation of pseudo-random codes in non-periodic long code direct-sequence spread-spectrum signals

HAOZhi-jin Z1,2,UXiao-wei G1,HENLei S1,HANYi Z2   

  1. 1 Zhejiang Provincial Key Lab of Data Storage and Transmission Technology,Hangzhou Dianzi University,Hangzhou 310018,China
    2 State Key Lab of Information Control Technology in Communication System of No.36 Research Institute,China Electronic Technology Corporation,Jiaxing 314001,China
  • Online:2015-05-20 Published:2015-07-17
  • Supported by:
    The National Natural Science Foundations of China;The National Natural Science Foundations of China;The Natural Science Foundations of Zhejiang Province

Abstract:

The existence of common peaks in triple correlation functions of different m-sequences is proven based on the detail study of the characteristics of triple correlation functions of m-sequences,the features of common peaks and the direct relationship between common peak coordinates and the primitive polynomials of m-sequences are deduced.An es-timation algorithm of pseudo-random (PN) codes in non-periodic long code direct-sequence spread-spectrum (NPLC-DSSS) signals is proposed based on the above theories.Simulations under additive white Gaussian noise show that the probability of spreading code and scrambling code being both correctly estimated can reach 99% when the signal with a quarter of the cycle length of the long PN code is used only and the signal-to-noise ratio is greater than 4dB.

Key words: triple correlation theory, non-periodic long code direct-sequence spread-spectrum (NPLC-DSSS) signal, common peak, pseudo-random (PN) codes estimation

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