Blind Estimation of Spreading Sequence Based on Neural Network by a Novel Information Criterion

Author

Lin, Guo ; Ming, Lv ; Bin, Tang

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

78

Lastpage

81

Abstract

To aim at the problem of blind estimation of low-SNR DS/SS signals spreading sequence, an approach is proposed to estimate the spreading sequence from DS/SS signals in this paper. The method is based on neural network by a novel information criterion. The theoretic analysis and computer simulation results show that this algorithm has much less computation and storage than EVD, and its performance is better than the primitive neural network algorithm.

Keywords

neural nets; signal processing; spread spectrum communication; computer simulation; information criterion; neural network; spreading sequence blind estimation; Algorithm design and analysis; Baseband; Computer networks; Eigenvalues and eigenfunctions; Gaussian noise; Military communication; Military computing; Neural networks; Performance analysis; Spread spectrum communication; DSSS signal; neural network; novel information criterion; spreading sequence;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3504-3

Type

conf

DOI

10.1109/ICCEE.2008.94

Filename

4740950