Sistemas de comunicação baseados em caos com filtros adaptativos kernel e mapa quadrático

Kernel adaptive filters are used to solve nonlinear problems, such as the equalization and decoding of chaos-based communication systems (CBCS). This use was investigated in previous works. However, only with CBCS that use bidimensional maps as chaotic signal generators (CSG), which have higher computational cost. In this paper, it is proposed the equalization and decoding by using an unidimensional map as CSG and a kernel adaptive filter as equalizer and decoder. The results show that the use of an unidimensional map leads to a lower bit error rate and computational cost, when compared to the two-dimensional case.