Predictive Demodulation for Chaotic Communications

Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas
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Abstract

Chaotic signals offer promising characteristics for wireless communications due to their wideband nature, low cross-correlation, and sensitivity to initial conditions. Although classical chaotic modulation schemes like Chaos Shift Keying (CSK) can theoretically match the performance of traditional modulation techniques (i.e., bit error rate), practical challenges, such as the difficulty in generating accurate signal replicas at the receiver, limit their effectiveness. Besides, chaotic signals are often considered unpredictable despite their deterministic nature. In this paper, we challenge this view by introducing a novel modulation scheme for chaotic communications that leverages the deterministic behavior of chaotic signals. The proposed approach eliminates the need for synchronized replicas of transmitted waveforms at the receiver. Moreover, to enhance noise robustness, we employ M-ary Frequency Shift Keying (FSK) modulation on the chaotic samples. Experimental results show that the proposed scheme significantly outperforms CSK when perfect replicas are unavailable, with the best performance achieved for low-order modulations, and resulting in minimal delay increase.
混沌通信的预测解调
混沌信号因其宽带特性、低交叉相关性和对初始条件的敏感性,为无线通信提供了良好的特性。虽然混沌移位键控(CSK)等经典混沌调制方案在理论上可以与传统调制技术的性能(即误码率)相媲美,但实际应用中的挑战,如在接收器生成精确信号副本的困难,限制了其有效性。此外,尽管混沌信号具有确定性,但通常被认为是不可预测的。在本文中,我们提出了一种用于混沌通信的新型调制方案,该方案利用了混沌信号的确定性行为,从而挑战了这一观点。此外,为了增强噪声鲁棒性,我们对混沌样本采用了M-ary频移键控(FSK)调制。实验结果表明,在无法获得完美复制品的情况下,所提出的方案明显优于 CSK,在低阶调制时性能最佳,而且延迟增加极少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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