基于扩频的复合混沌优选序列生成方法

摘要

To solve problem that the existing one-dimensional chaotic pseudo-random sequence generation method is simple and easy to be intercepted by reverse, by controlling the initial value and fractal parameters of the chaotic sequence, XOR is superimposed, and the appropriate initial is selected. With values and fractal parameters, a newcomposite chaotic preferred sequence is proposed. The performance of the sequence is then analyzed from the perspectives of complexity, balance, run-length characteristics, correlation, and randomness.Then the sequence is subjected to performance analysis such as complexity, balance, run characteristics, correlation, and randomness. Analytical verification of balance, run characteristics, and correlation can also be collectively referred to as the Pseudo-noise Sequence test.The simulation results showthat the generated composite chaotic sequence not only improves the complexity of the chaotic sequence, but also has better run-length characteristics and balance. Compared with a single chaotic sequence, its randomness and correlation are better, and it satisfies the spread spectrum. Performance requirements for pseudo-random se-quences in communication systems.%针对现有的一维混沌伪随机序列产生方式过于单一、易被反向截获、复杂度低等不足, 通过对混沌序列的初值和分形参数进行相互控制, 异或叠加, 并选取合适的初值和分形参数的方式, 提出新的复合混沌优选序列;然后从复杂度、平衡性、游程特性、相关性、随机性等角度对序列进行性能分析.仿真分析结果表明, 生成的复合混沌序列不仅提高了混沌序列的复杂度, 而且具有较好的游程特性和平衡性, 相比于单一混沌序列, 其随机性和相关性也更好, 满足扩频通信系统中伪随机序列的性能要求.