Blind deconvolution for SISO FIR channels based on autocorrelation function
Shefeng Yan, Yuanliang Ma · 2003
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.