Abstract
Since the early 1990s, a slew of chaotic-based communication systems have been proposed, all of which take advantage of chaotic waveform properties. The inspiration stems from the substantial benefits that this form of nonlinear signal offers. Many communication schemes and applications have been specifically designed for chaos-based communication systems to achieve this goal, with energy, data rate, and synchronization awareness being taken into account in most designs. However, non-coherent chaos-based systems have recently received a lot of attention in order to take advantage of the benefits of chaotic signals and non-coherent detection while avoiding the use of chaotic synchronization, which has poor performance in the presence of additive noise. This paper provides a thorough examination of all wireless radio frequency chaos-based communication systems. It begins by describing the difficulties of chaos implementations and synchronization processes, then moves on to a thorough literature review and study of chaos-based coherent techniques and their applications.
Highlights
Shannon's 1947 realization that a noise-like signal with a waveform of maximum entropy results in an optimized channel potential in communications (Shannon, 1998) and implementation of a functional chaotic electrical circuit have sparked a lot of interest in the field of chaos-based communication systems (Chua, 1980)
There is an information theoretic study of the capacity of chaos in digital communication systems, emphasizing that there is no underlying concept prohibiting the use of chaos in digital communications (Hasler & Schimming, 2002)
Some of these chaosbased modulations provide similar benefits to traditional spread-spectrum modulations, such as fading mitigation in time-varying channels (Xia et al, 2004), jamming resistance combined with low probability of interception (LPI) (Yu & Yao, 2005), and safe communications (Lynnyk & Elikovský, 2010)
Summary
Shannon's 1947 realization that a noise-like signal with a waveform of maximum entropy results in an optimized channel potential in communications (Shannon, 1998) and implementation of a functional chaotic electrical circuit have sparked a lot of interest in the field of chaos-based communication systems (Chua, 1980). There is an information theoretic study of the capacity of chaos in digital communication systems, emphasizing that there is no underlying concept prohibiting the use of chaos in digital communications (Hasler & Schimming, 2002) Some of these chaosbased modulations provide similar benefits to traditional spread-spectrum modulations, such as fading mitigation in time-varying channels (Xia et al, 2004), jamming resistance combined with low probability of interception (LPI) (Yu & Yao, 2005), and safe communications (Lynnyk & Elikovský, 2010). Non-coherent receivers, such as differential chaos shift keying (DCSK) systems or chaos-based on off Keying (COOK) systems, on the other hand, do not require chaotic signal generation and synchronization on the receiver side to recover the transmitted data (Lau & Tse, 2003; Kis et al, 1998). As a result of this significant advantage, an increasing amount of research has been done in this field, with several novel non-coherent chaos-based communication systems being proposed
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