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

Xiaowei Gu, Zhijin Zhao, Lei Shen

Research output: Contribution to journalArticlepeer-review

37 Citations (SciVal)

Abstract

An estimation method of pseudo-random (PN) codes in the periodic long code direct sequence spread spectrum signals using a pair of spreading code and scrambling code [i.e. long scrambling code direct sequence spread spectrum (LSC-DSSS)] is investigated in this study. Via the investigation of properties of triple correlation function (TCF) of m -sequences, the existence of common peaks in the TCFs of different m -sequences is proved, and the corresponding relationship between common peaks and primitive polynomials is further investigated. Four theorems are proposed as supplements of triple correlation theory and a novel estimation algorithm of the PN codes in LSC-DSSS signals is put forward on the basis of the theorems. With certain carrier frequency and chip rate of spreading code, this algorithm first eliminates the influence of information codes through delay-and-multiply operation. Then the TCF of signal is calculated, and the two PN codes in signal are successfully estimated finally by searching and using the common peak coordinates in the TCF. Simulation results show that the proposed algorithm exhibits excellent performance in estimating PN codes in LSC-DSSS signals.
Original languageEnglish
Pages (from-to)1273 – 1281
Number of pages9
JournalIET Communications
Volume10
Issue number11
DOIs
Publication statusPublished - 21 Jul 2016
Externally publishedYes

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