Blind deconvolution for SISO FIR channels based on autocorrelation function

Author

Yan, Shefeng ; Ma, Yuanliang

Author_Institution

Inst. of Acoust. Eng., Northwestern Polytech. Univ., Xi´´an, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1413

Abstract

A new algorithm based on autocorrelation function of single input for blind deconvolution is proposed. We deduce a LMS iterative algorithm for blind deconvolution by minimizing the squared sum of received signal autocorrelation function over a region excluding the zero delay point. In this algorithm, only second order moment is adopted, which makes it widely applicable for Gaussian signals as well as non-Gaussian signals. Computer simulation results agree well to the theoretical analysis.

Keywords

blind source separation; channel allocation; deconvolution; least mean squares methods; transient response; Gaussian signals; LMS iterative algorithm; SISO FIR channels; autocorrelation function; blind deconvolution; least mean square iterative algorithm; nonGaussian signals; single input single output finite impulse response channels; zero delay point; Additive noise; Autocorrelation; Deconvolution; Delay; Equalizers; Finite impulse response filter; Iterative algorithms; Multipath channels; Signal processing algorithms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281138

Filename

1281138