Blind channel equalization of multiple-input/single-output FIR systems for chaotic digital communication systems

Recently, Various blind channel equalization techniques for chaotic communication systems have been developed. However, in most of these studies communication channel is assumed to be single-input single-output (SISO) system. To the best of our knowledge, there is no study about blind equalization of multiple-input multiple-output (MIMO) channel case. In this study, an adaptive blind channel equalization algorithm for multiple-input single-output (MISO) chaotic communication system has been proposed. The channel is modelled as a MIMO finite impulse response (FIR) system and the equalizer is designed as a MISO FIR filter. The nonlinear predictability of a chaotic signal is exploited to derive the algorithm and the equalizer coefficients are updated by the proposed algorithm.