Poly-phase based blind deconvolution technique using second-order statistics
Hiroshi Ochi, Masato Oshiro · 2002
A novel second-order statistics-based blind deconvolution and equalizer technique is proposed. This technique makes use of a two-channel perfect reconstruction filter bank derived from a two-component polyphase decomposition of the transmission channel in order to make exact system identifications possible. The proposed blind deconvolution algorithm is superior to conventional algorithms in view of the simple structure and the uniqueness of the solution. In order to verify the effectiveness of this method, several computer simulations including a 256 QAM signal equalizer and a blurred image recovery have been shown.