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 a single-input single-output (SISO) system. There is no study for multiple-input multiple-output (MIMO) unknown channel case. In this study, we propose an adaptive blind channel equalization algorithm for multiple-input single-output (MISO) chaotic communication systems in which the channel is modelled as a MIMO finite impulse response (FIR) system and the equalizer is designed as a MISO adaptive FIR filter The nonlinear predictability of a chaotic signal is exploited to derive the adaptive algorithm and the equalizer coefficients are updated by the proposed algorithm. An optimum fixed filter is designed by assuming that the channel is known. Since there do not exist a method for comparison, the proposed algorithm is compared to the optimum fixed filter. Simulations show that the method gives results very close to those of the fixed filter.