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Performance Analysis and Optimization of Multi-User Differential Chaos-Shift Keying Communication Systems

机译:多用户差分混沌键控通信系统性能分析与优化

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Bit-error rate (BER) performance of a generalized multi-user differential chaos-shift-keying (DCSK) digital communication system is analyzed and optimized in this paper using baseband models. The generalized version of DSCK involves use of multiple nonrepeating chaotic spreading segments and energy adjustments and allows considerable system optimization. Theoretical BER analysis of correlation decoders based on a mathematical two-stage exact conditional approach is given as the foundation of subsequent performance studies. The consequent fully theoretical BER result gives an odd-symmetric spreading map condition for the BER to be unaffected by the mix of transmitted bits. The basis of the theoretical result is used to improve on the traditional simple Gaussian approximation (SGA) approach to the calculation of BER; this is inaccurate because it does not recognise the chaotic dynamics of DCSK. To overcome this drawback, a dynamically improved Gaussian approximation (DIGA) is developed. The DIGA approach is compared with the SGA approach, with simulation results demonstrating its accuracy and efficiency, certainly for more than five to ten users. Not only does the DIGA approach provide a more accurate BER than the SGA approach, its simple form also makes optimization of the DCSK system practically possible. The BER lower bound for the multi-user DCSK system is deduced from the DIGA approach. It is shown how the parameters and structure of the multi-user DCSK communication system can be optimized to achieve this lower bound. The work gives an exact theoretical basis of DCSK and covers several aspects which have not been treated in earlier research or have been inexactly treated
机译:本文利用基带模型分析和优化了通用多用户差分混沌键控(DCSK)数字通信系统的误码率(BER)性能。 DSCK的通用版本涉及多个非重复混沌扩展段的使用和能量调整,并允许进行可观的系统优化。给出了基于数学两阶段精确条件方法的相关解码器的理论BER分析,作为后续性能研究的基础。结果,完全的理论BER结果给出了一个奇对称的扩频映射条件,使得BER不受传输比特混合的影响。理论结果的基础是对传统的简单高斯近似(SGA)方法进行BER计算的改进。这是不准确的,因为它无法识别DCSK的混沌动力学。为了克服此缺点,开发了动态改进的高斯近似(DIGA)。 DIGA方法与SGA方法进行了比较,仿真结果证明了它的准确性和效率,肯定适用于五到十个以上的用户。 DIGA方法不仅提供比SGA方法更准确的BER,而且其简单的形式还使DCSK系统的优化成为现实。多用户DCSK系统的BER下限由DIGA方法推导得出。它显示了如何优化多用户DCSK通信系统的参数和结构以实现此下限。这项工作为DCSK提供了确切的理论基础,涵盖了一些在早期研究中未曾处理过或未得到正确处理的方面。

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