Optimal estimation and sequential channel equalization algorithms for chaotic communications systems
EURASIP Journal on Applied Signal Processing
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
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A variety of communications systems based on chaos and nonlinear dynamics have previously been proposed. However, most of these algorithms fail to work under realistic channel conditions. This paper presents a channel equalization scheme for chaotic communication systems based on a family of archetypal chaotic maps. The symbolic-dynamic representation of these maps is exploited to allow a straightforward and efficient implementation. Equalizer filter coefficients are updated using appropriately modified versions of decision-directed and decision-feedback equalization algorithms with adaptation based on the NLMS algorithm.