Open AccessA Novel Recognition Method for Low SNR DSSS Signals Based on Four‐Order Cumulant and Eigenvalue Analysis
Author(s) -
Guan Mingxiang,
Wang Le
Publication year - 2015
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2015.07.036
Subject(s) - cumulant , direct sequence spread spectrum , eigenvalues and eigenvectors , computer science , order (exchange) , higher order statistics , pattern recognition (psychology) , speech recognition , algorithm , mathematics , statistics , artificial intelligence , signal processing , telecommunications , computer hardware , spread spectrum , physics , digital signal processing , channel (broadcasting) , finance , quantum mechanics , economics
At present it is very difficult to estimate the carrier frequency, spread spectrum code period and spread spectrum code pattern of Direct sequence spread spectrum (DSSS) signals with low Signal‐to‐noise ratio (SNR) accurately and simultaneously in the condition of Gaussian white noise. A novel method of estimation for carrier frequency and spread spectrum code period of DSSS signals based on four‐order cumulant and eigenvalue analysis is presented. Compared with the correlative detection in time domain, square filtering detection and Hebbian rule, the proposal method in this study can realize the estimation for the carrier frequency and period of spread spectrum code of low SNR DSSS signals with a high accuracy simultaneously. In a priori condition of the spread spectrum code period the proposal method can calculate synchronization loss time between spread spectrum code and information symbol. The proposal method this paper has a strong ability to suppress Gaussian noise.