Title :
A GEF-based algorithm for blind estimation of PN sequence in lower SNR DSSS signals
Author :
Ming, Lu ; Yong, Zhou ; Bin, Tang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this paper, we propose a generalized energy function (GEF) algorithm to search for the optimum weights to estimate the PN spreading sequence in a non-cooperative context by introducing a weighting matrix. The GEF algorithm can work in real-time and be easily implemented in both synchronization and asynchronization signal modes. Computer simulations show that this algorithm can estimate PN spreading sequence quickly and accurately at lower signal-to noise ratio (SNR), largely reducing the computational complexity and storage requirement versus the eigenvalue decomposition (EVD) algorithm. Furthermore, its properties of convergence, correlation and computational storage are better than the projection approximation subspace tracking (PAST) and modified Hebbian rule (MHR) algorithms.
Keywords :
approximation theory; blind source separation; eigenvalues and eigenfunctions; matrix algebra; spread spectrum communication; asynchronization signal; blind estimation; computational complexity; direct sequence spread spectrum transmission; eigenvalue decomposition algorithm; generalized energy function algorithm; modified Hebbian rule algorithms; projection approximation subspace tracking; signal-to-noise ratio; weighting matrix; Approximation algorithms; Baseband; Computational complexity; Computer simulation; Convergence; Eigenvalues and eigenfunctions; Matrix decomposition; Power engineering and energy; Signal to noise ratio; Spread spectrum communication;
Conference_Titel :
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location :
Fujian
Print_ISBN :
978-1-4244-2063-6
Electronic_ISBN :
978-1-4244-2064-3
DOI :
10.1109/ICCCAS.2008.4657921
