The Underwater Acoustic MIMO OFDM System Channel Equalizer Basing on Independent Component Analysis

In this paper we proposed a novel approach of blind channel equalizer for underwater multiple-input multiple-output orthogonal frequency diversity multiple (MIMO-OFDM) system. Convolutional encoder is applied on reference frequency bin and each block before entre the underwater MIMO-OFDM system. The transform imposed a correlation structure on the transmitted block, after every reference frequency signal being unmixed by fixed-point algorithm for independent component analysis (FastICA), the estimated reference are reordered and scaled. Then using minimum mean squared error (MMSE) to obtain others frequency bin channel impulse response inner the same block. We recover the user signal assuming that the channels are unknown and no training sequences are sent.