Blind Estimation of Digital Chaotic Spread- Spectrum Sequence

Chaotic sequences have several properties: the ease of their generation and various families with an arbitrary family size and sequence period, as well as their broadband noise-like and non-linear nature. It is these properties that provide the potential for applying chaotic sequences in spread-spectrum communications. In this paper, the authors extend the method of blind estimation of the pseudo-random sequence of the spread-spectrum signal, which is provided by literature [1], to the chaotic spread-spectrum communication system and improve it. Experimental results show that the method, which is based on the eigenvalue analysis, can estimate the chaotic spreading sequence only by the knowledge of symbol period in a non-cooperative context.