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Chaos M-ary modulation and demodulation method based on Hamilton oscillator and its application in communication

机译:基于汉密尔顿振荡器的混沌M进制调制解调方法及其在通信中的应用

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摘要

Chaotic communication has aroused general interests in recent years, but its communication effect is not ideal with the restriction of chaos synchronization. In this paper a new chaos M-ary digital modulation and demodulation method is proposed. By using region controllable characteristics of spatiotemporal chaos Hamilton map in phase plane and chaos unique characteristic, which is sensitive to initial value, zone mapping method is proposed. It establishes the map relationship between M-ary digital information and the region of Hamilton map phase plane, thus the M-ary information chaos modulation is realized. In addition, zone partition demodulation method is proposed based on the structure characteristic of Hamilton modulated information, which separates M-ary information from phase trajectory of chaotic Hamilton map, and the theory analysis of zone partition demodulator's boundary range is given. Finally, the communication system based on the two methods is constructed on the personal computer. The simulation shows that in high speed transmission communications and with no chaos synchronization circumstance, the proposed chaotic M-ary modulation and demodulation method has outperformed some conventional M-ary modulation methods, such as quadrature phase shift keying and M-ary pulse amplitude modulation in bit error rate. Besides, it has performance improvement in bandwidth efficiency, transmission efficiency and anti-noise performance, and the system complexity is low and chaos signal is easy to generate.
机译:近年来,混沌通信引起了人们的普遍关注,但是由于混沌同步的限制,其通信效果并不理想。本文提出了一种新的混沌M进制数字调制解调方法。利用时空混沌汉密尔顿图在相平面上的区域可控特征以及对初始值敏感的混沌唯一特征,提出了区域映射方法。建立了M进制数字信息与汉密尔顿地图相平面区域之间的映射关系,从而实现了M进制信息的混沌调制。另外,根据汉密尔顿调制信息的结构特点,提出了一种分区分解方法,将M元信息与混沌汉密尔顿图的相位轨迹相分离,给出了分区分解器边界范围的理论分析。最后,在个人计算机上构建了基于这两种方法的通信系统。仿真表明,在高速传输通信中,在没有混沌同步情况下,提出的混沌M进制调制解调方法优于传统的M进制调制方法,例如正交相移键控和M进制脉冲幅度调制。误码率。此外,它在带宽效率,传输效率和抗噪声性能方面都有性能上的改进,并且系统复杂度低并且容易产生混沌信号。

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