为获得性能良好的扩频序列,基于重构原理,将Bernoulli映射相空间轨迹进行二度重构,提出了一种新的混沌映射。新的混沌映射最大Lyapunov指数由0.697提高至大于5.5,并具有弱结构特性,以此来产生扩频序列。仿真计算分析了混沌序列的复杂度、平衡性以及相关性的改进,仿真结果表明,该方法产生的混沌扩频序列是一类性能良好的混沌扩频序列。
According to reconstruction principle, a novel chaotic mapping was investigated, aiming at seekingfor spreading sequences with excellent performance. The maximum Lyapunov exponent of the new chaoticmapping was increased from 0.697 to more than 5.5. The phase-space of the mapping has a weak and axiallysymmetric structure, and it was used to generate spreading sequences. Calculation and analysis show thatthe complexity, balance and correlation of those spreading sequences are all improved. On the basis of theseresults, it can be concluded that sequences produced by this new chaotic mapping axe spreading sequenceswith outstanding performance.