Blind Estimation of PN Spreading Sequence Based on E-PASTd

Aim at the problem of blind estimation of DS/SS spreading sequence,the approach of eigenvalue decomposition is modified, moreover a Pseudo Noise (PN) code recovery algorithm based on Projection Approximation Subspace Tracking with deflation (PASTd) is proposed. This algorithm estimates the desynchronized delay value through the principal eigenvectors, and extracts the principal component by using fast convergence properties of PASTd technique, avoiding direct eigenvalue decomposition. Computer simulations show that this algorithm decreases the storage consuming, is prone to hardware realization and has fast convergence properties. The performances are better than the gradient-descent algorithm and the neural networks algorithm.