【摘要】 针对比特抽取法在产生混沌跳频序列时实时性不佳的问题,提出一种基于分段迭代的混沌跳频序列生成算法。将分段迭代产生的混沌映射轨道实值点表示成二进制小数,采用周期多比特重叠抽取和非线性矩阵变换相结合的方法以及改进的随机平移替代法生成宽间隔序列。仿真结果表明,在平衡性、汉明相关性、跳频间隔及抗预测能力等跳频序列性能不低于现有算法的前提下,其平均迭代次数可减少约45%,且在实时性、存储空间占用量和扩展序列周期方面具备优势。经验证,该算法适用于要求灵活更换跳频图谱的无线跳频通信系统。更多还原

【Abstract】 Aiming at the problem of poor real-time performance caused by the bit extraction method during the process of creating chaotic frequency hopping(FH) sequences,a new generation algorithm for chaotic FH sequences based on segmented iterative is proposed. The chaos mapping tracking real-value point obtained by segmented iterative is expressed as a binary decimal,and the wide interval sequence is generated by using the methods such as periodic multi-bit overlapping extraction,nonlinear matrix transformation and improved random shift replace algorithm. The simulation result shows that,under the premise that the balance properties,hamming correlation,FH interval,anti-prediction capacities and other FH sequence performances are not lower than the existing algorithms,the average number of iterations can be reduced by about45%,and it also has the advantage on the aspects of real-time,storage footprint and the extended sequence period.Through verification,this algorithm is suitable for the wireless FH communication system that requests the flexible replacement of FH patterns.更多还原