Serial-fabric chaotic spread-spectrum sequence

Unimodel chaotic spread-spectrum sequence is easy to be attacked for its poor secrecy, a serial-fabric chaotic spread-spectrum sequence is therefore established by using the output of one chaotic system as the initial condition for another chaotic systems. These two chaotic systems are both ummodel maps and they are therefore easy for digital realization, and the initial value of the second chaotic system is changing all the time thereby improving its secrecy- The analysis of correlation property and secrecy with a mathematic model established ,and the attack of the chaotic sequence proposed in this paper and the unimodel chaotic sequence by the tuzzy neural network proved the effectiveness of thsi method.