The deconvolution algorithm of incremental wiener filtering based on pseudo-random sequences

Abstract

The Wiener filtering deconvolution algorithm applied to the correlation identification method which stability is poor and identification effect is undesirable that caused by the noise change of outside the band. The reasons of Wiener filtering deconvolution algorithm which adaptive of noise is unsatisfactory is analyzed by this undesirable consequence. The incremental wiener filter that used in correlation identification method is proposed: We study the characteristic of incremental wiener filter that solution is allowed for iterative estimation to improve Wiener filtering deconvolution algorithm further. Finally, the experiments indicate that the incremental wiener filtering deconvolution algorithm has better filtering effect to the noise that can improve the precision of deconvolution and obtain better recognition effect in the application of the correlation identification method