Design of a Short Reference Noncoherent Chaos-Based Communication Systems

Kaddoum, Georges; Soujeri, Ebrahim; Nijsure, Yogesh

doi:10.1109/tcomm.2015.2514089

Cited by 142 publications

(56 citation statements)

References 26 publications

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“…In these applications, the chaotic waveform does not contain information, instead, the information is masked in the chaotic signal (for chaotic masking) or information is encoded using the key shift (for CSK). At the receiver, the complex chaotic synchronization is usually needed to recover the Frequency-modulated DCSK [14,15] M-ary DCSK [16,17], [18,19] High efficiency DCSK [20] Multi-carrier DCSK [21] Short reference DCSK [22,23] lower bit error rate Noise reduction DCSK [24] Improved DCSK [25] Coded modulation DCSK [26] DCSK based on matched filter [27] without delay lines…”

Section: Introductionmentioning

confidence: 99%

Experimental Wireless Communication Using Chaotic Baseband Waveform

Yao

Sun

Ren

et al. 2019

IEEE Trans. Veh. Technol.

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Some new properties of the chaotic signal have been implemented in communication system applications recently. They include: (i) chaos is proven to be the optimal communication waveform in the sense of very simple matched filter being used to achieve maximum signal to noise ratio; (ii) the amount of information contained in a chaotic signal is unaltered by a wireless multipath channel; and (iii) chaos property can be used to resist multipath effect. All these support the application of chaos in a practical communication system. However, due to the broadband property of the chaotic signal, it is very difficult for a practical transducer or antenna to convert such a broadband signal into a signal that would be suitable for practical band-limited wireless channel. Thus, the use of chaos property to improve the performance of conventional communication system without changing the system configuration becomes a critical issue in communication with chaos. In this paper, chaotic baseband waveform generated by a chaotic shaping filter is used to show that this difficulty can be overcome. The generated continuous-time chaotic waveform is proven to be topologically conjugate to a symbolic sequence, allowing the encoding of arbitrary information sequence into the chaotic waveform. A finite impulse response filter is used to replace the impulse control in order to encode information into the chaotic signal, simplifying the algorithm for high speed communication. A wireless communication system is being proposed using the chaotic signal as the baseband waveform, which is compatible with the general wireless communication platform. The matched filter and decoding method, using chaos properties, enhance the communication system performance. The Bit Error Rate (BER) and computational complexity performances of the proposed wireless communication system are analyzed and compared with the conventional wireless systems. The results show that the proposed chaotic baseband waveform of our wireless communication method has better BER performance in both the static and time-varying wireless channels. The experimental results, based on the commonly-used wireless open-access research platform, show that the BER of the proposed method is superior to the conventional method under a practical wireless multipath channel. * Corresponding author: renhaipeng@xaut.edu.cn information. To avoid the difficulty of the precise synchronization, the Differential CSK (DCSK)[10-12] was proposed. The DCSK system is robust under practical wireless channel and exhibits lower implementation complexity [13]. However, the weaknesses of DCSK are high energy consumption, low data rate, weakened information security and requirement of widewidth delay lines. Subsequently, several variants of DCSK were developed to improve the performance of DCSK in different ways, as shown in Table I. However, these variants of DCSK have low bandwidth efficiency as compared to conventional wireless communication.Another chaotic communication scheme is to encode the information bit...

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Section: Introductionmentioning

confidence: 99%

Experimental Wireless Communication Using Chaotic Baseband Waveform

Yao

Sun

Ren

et al. 2019

IEEE Trans. Veh. Technol.

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“…In order to reduce the delay line, a short reference DCSK system (SR-DCSK) is proposed in [194]. As shown in Fig 30, the number of chaotic samples in SR-DCSK that constitute the reference signal is shortened to R such that it occupies less than half of the bit duration.…”

Section: B Non-coherent Digital Modulations 1) Differential Chaos Shmentioning

confidence: 99%

Wireless Chaos-Based Communication Systems: A Comprehensive Survey

2016

Self Cite

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Since the early 1990s, a large number of chaos-based communication systems have been proposed exploiting the properties of chaotic waveforms. The motivation lies in the significant advantages provided by this class of non-linear signals. For this aim, many communication schemes and applications have been specially designed for chaos-based communication systems where energy, data rate, and synchronization awareness are considered in most designs. Recently, the major focus, however, has been given to the non-coherent chaos-based systems to benefit from the advantages of chaotic signals and noncoherent detection and to avoid the use of chaotic synchronization, which suffers from weak performance in the presence of additive noise. This paper presents a comprehensive survey of the entire wireless radio frequency chaos-based communication systems. First, it outlines the challenges of chaos implementations and synchronization methods, followed by comprehensive literature review and analysis of chaos-based coherent techniques and their applications. In the second part of the survey, we offer a taxonomy of the current literature by focusing on non-coherent detection methods. For each modulation class, this paper categorizes different transmission techniques by elaborating on its modulation, receiver type, data rate, complexity, energy efficiency, multiple access scheme, and performance. In addition, this survey reports on the analysis of tradeoff between different chaos-based communication systems. Finally, several concluding remarks are discussed.

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“…Recently, several advanced derivatives of the DCSK system have been proposed to improve the system performance, i.e. improved-DCSK (I-DCSK) [7], short reference-DCSK (SR-DCSK) [8], and noise reduction-DCKS (NR-DCSK) [9]. In addition, the emerging index modulation is also integrated into the DCSK system to improve the system’s data rate, energy efficiency, and spectral efficiency, i.e.…”

Section: Introductionmentioning

confidence: 99%

On the performance analysis of a DCSK system under the pulse jamming environment

Khieu

Nguyen

2018

PLoS ONE

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This paper considers the DCSK system under jamming environment. We consider both fast and slow switching pulse jamming (PJ). We derive approximations of the system bit error rates (BERs) in analytic expressions containing only well-known special functions, from which we show that for both jamming cases increasing the spreading factor can enhance the BER. In addition, we reveal that under the fast switching PJ, the BER does not depend on the jamming duty cycle ρ when ρ ≤ 0.5, however when ρ > 0.5, increasing its value degrades the BER. Moreover, we find out that under the slow switching PJ, increasing ρ may either enhance or degrade the BER.

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Design of a Short Reference Noncoherent Chaos-Based Communication Systems

Cited by 142 publications

References 26 publications

Experimental Wireless Communication Using Chaotic Baseband Waveform

Experimental Wireless Communication Using Chaotic Baseband Waveform

Wireless Chaos-Based Communication Systems: A Comprehensive Survey

On the performance analysis of a DCSK system under the pulse jamming environment

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