Title :
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
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;
Conference_Titel :
Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3504-3
DOI :
10.1109/ICCEE.2008.94
