Title :
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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281138
