Author/Authors :
Kojouri، Behnam نويسنده Department of Electrical Engineering, Sadjad Institute of higher Education, Mashhad, Iran , , Hasanvand، Ammar نويسنده Department of Electrical Engineering, Sadjad Institute of higher Education, Mashhad, Iran , , Asadpour، Vahid نويسنده Department of Electrical Engineering, Sadjad Institute of higher Education, Mashhad, Iran ,
Abstract :
In recent years, a variety of communications systems based on the 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 the chaotic communication systems based on a Logistic Chaos map. The dynamic representation of the Logistic map is exploited to allow a straightforward and efficient implementation. Equalizer filter coefficients are updated using a new combination of the RLS and LMS by partitioned the main frame of data into subsequent frames. The first frame that include the training sequence is fed to the RLS for better convergence speed, however, switch to the LMS for low complexity
