Behnam Kojouri - Sadjad Institute for Higher Education
Ammar Hasanvand - Sadjad Institute for Higher Education
Vahid Asadpour - Sadjad Institute for Higher Education

In recent years, a variety of communications systems based on chaos and nonlinear dynamics have been proposed. However, most of these algorithms not working under realistic channel conditions. This paper presents a channel equalization scheme for chaotic communication systems based on a Logistic Chaos map. The dynamic representation of Logistic map is exploited to allow a straightforward and efficient implementation. Equalizer filter coefficients are updated using a new combination of RLS and LMS by partitioned the main frame of data into subsequent frames, the first frame which include the training sequence is fed to RLS for better convergence speed, however switch to LMS for low complexity.

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