Channel equalization and timing recovery technique for chaotic communications systems

In this paper, a minimum nonlinear prediction error (MNPE) based channel equalization and timing recovery technique is proposed for chaotic communications systems. This blind technique utilizes the short-term predictability of a chaotic signal to estimate the equalizer coefficients and the timing delay without any training signals. Both computer simulation and experimental setup are carried out to validate the proposed technique. Compared with the constant modulus algorithm (CMA) and higher-order statistics (HOS) based inverse filter techniques, which are commonly used in the conventional communications systems, the proposed MNPE technique can achieve better demodulation performance.