A Novel Recognition Method for Low SNR DSSS Signals Based on Four-Order Cumulant and Eigenvalue Analysis

GUAN Mingxiang; WANG Le

doi:10.1049/cje.2015.07.036

Volume 24 Issue 3

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GUAN Mingxiang and WANG Le, “A Novel Recognition Method for Low SNR DSSS Signals Based on Four-Order Cumulant and Eigenvalue Analysis,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 648-653, 2015, doi: 10.1049/cje.2015.07.036

Citation:

GUAN Mingxiang and WANG Le, “A Novel Recognition Method for Low SNR DSSS Signals Based on Four-Order Cumulant and Eigenvalue Analysis,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 648-653, 2015, doi: 10.1049/cje.2015.07.036

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A Novel Recognition Method for Low SNR DSSS Signals Based on Four-Order Cumulant and Eigenvalue Analysis

doi: 10.1049/cje.2015.07.036

School of Electronic and Communication, Shenzhen Institute of Information Technology, Shenzhen 518172, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61401288), the Training Plan of Guangdong Province Outstanding Young Teachers in Higher Education Institutions (No.Yq2013192), Project of Shenzhen Science and Technology Innovation Committee (No.JCYJ20130401095947215, No.JCYJ20140418100633654), and Key Lab of SZIIT (No.SYS201004).

Received Date: 2013-11-14
Rev Recd Date: 2014-05-29
Publish Date: 2015-07-10

Abstract

Abstract

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.
- DSSS,
- Low signal to noise ratio,
- Recognition,
- Four-order cumulant,
- Eigenvalue analysis

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References(11)

References

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