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New and Efficient Method for Extending Cycle Length of Digital Chaotic Systems

机译:扩展数字混沌系统周期长度的新方法

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Implementing chaotic systems using digital computers with finite arithmetic precision leads to significant degradations on their quality of chaotic dynamics, and the important shortcoming found on digital chaotic systems is their limited cycle length. Notable efforts have been exerted recently to overcome this problem and enhance the quality of digital chaotic generators, and the aim is to generate chaotic sequences with long cycle lengths. Perturbation of chaotic systems orbits is the most efficient technique that has been adopted in this context. In this paper, we propose a new method for perturbing the orbits of chaotic systems. Compared to many proposals, our method does not need an external generator to perturb the chaotic orbit, and it has a self-perturbation mechanism. Evaluation results showed that the proposed method can extremely extend the cycle length of a given chaotic system in which no repeated patterns have been detected even using low arithmetic precision. The results also showed that the perturbed chaotic system has good statistical proprieties in terms of randomness; it passed successfully a set of statistical tests (NIST and Diehard). The whole system has been implemented in FPGA-based hardware, and real-time results are given. Compared with some proposals, the proposed method has provided better results in terms of randomness and hardware performance.
机译:使用具有有限的算术精度的数字计算机来实现混沌系统会导致其混沌动力学质量显着降低,并且数字混沌系统上发现的重要缺点是其循环周期有限。最近已经进行了显着的努力来克服这个问题并提高数字混沌发生器的质量,并且目的是产生具有长周期长度的混沌序列。在这种情况下,对混沌系统轨道的扰动是最有效的技术。在本文中,我们提出了一种扰动混沌系统轨道的新方法。与许多建议相比,我们的方法不需要外部发生器来扰动混沌轨道,并且具有自扰机制。评估结果表明,该方法可以极大地延长给定混沌系统的周期长度,即使使用低算术精度,该混沌系统也不会检测到重复的模式。结果还表明,扰动混沌系统在随机性方面具有良好的统计特性。它成功通过了一组统计测试(NIST和Diehard)。整个系统已在基于FPGA的硬件中实现,并给出了实时结果。与某些建议相比,该方法在随机性和硬件性能方面提供了更好的结果。

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