Blind channel equalization of MIMO FIR channels for chaotic communication systems

Recently various blind channel equalization algorithms have been developed for chaotic communication systems, by exploiting some properties specific to chaotic signals. However, communication channel is assumed to be a single-input single-output (SISO) system in most of these studies. There is no blind channel equalization method for multiple-input multiple-output (MIMO) unknown channel case. In this study, we propose an adaptive blind channel equalization algorithm for MIMO chaotic communication systems. In MIMO communication system, multiuser interference (MUI) is an important factor as well as intersymbol interference (ISI) that hinders receiver performance. To increase receiver performance and achieve reliable, high-speed communication a novel method that overcome the effect of ISI and MUI is developed. The effectiveness of proposed algorithm is demonstrated by computer simulations.