Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

Bai, Chao; Ren, Hai‐Peng; Grebogi, Celso; Baptista, Murilo da Silva

doi:10.3390/app8020162

Cited by 32 publications

(23 citation statements)

References 33 publications

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“…In [9], "Chaos-Based Underwater Communication with Arbitrary Transducers and Bandwidth", Bai et al used a chaotic communication system with an enhanced differential chaos shift keying (DCSK) for underwater acoustic communications. Among various forms of DCSK, such as correlation delay shift keying (CDSK), phase-separated DCSK (PS-DCSK), high-efficiency DCSK (HE-DCSK), and reference-modulated DCSK (RM-DCSK), the new proposal based on a first-order hybrid chaotic system showed the best performance.…”

Section: Underwater Acoustic Communication Systemsmentioning

confidence: 99%

Editorial for Special Issue: Underwater Acoustics, Communications, and Information Processing

et al. 2019

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Section: Underwater Acoustic Communication Systemsmentioning

confidence: 99%

Editorial for Special Issue: Underwater Acoustics, Communications, and Information Processing

et al. 2019

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“…The drawback of I-DCSK is its sensitivity to Inter-Symbol Interference (ISI) caused by the multipath propagation in the wireless communication, which degrades the BER performance. Other methods that avoid the usage of delay units are proposed in [26] and [27]. In [26], the reference signals and information bearing signals, generated by a logistic map passes through a squareroot-raised-cosine (SRRC) filter, are separated by a sinusoidal and its orthogonal signals (referred to as PS-DCSK for brief).…”

Section: Introductionmentioning

confidence: 99%

“…This method also avoids the delay units and achieves twice as much data rate as the original DCSK. In [27], the DCSK system using a First Order Hybrid System and orthogonal sinusoidal carriers to separate the reference signal and information bearing signal in order to achieve doubled data transmission rate (referred to as FOHS-DCSK for brief). Moreover, a corresponding matched filter [28]- [30] is used to resist the channel distortion and multipath propagation, thus improving the BER performance.…”

Section: Introductionmentioning

confidence: 99%

“…The paper is organized as follows: The system configuration of the proposed SOHS-DCSK is introduced in Section II. Simulation analysis of the proposed SOHS-DCSK and comparison with the conventional DCSK [13], NR-DCSK [18], HE-DCSK [20], RM-DCSK [21], I-DCSK [25], PS-DCSK [26] and FOHS-DCSK [27] are given in Section III. Experimental comparison results in different scenarios are given in Section IV.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Phase Separation Differential Chaos Shift Keying Wireless Communication Based on Matched Filter

2019

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New findings have been identified recently for chaos application in communication systems, including the simplest matched filter to maximize the signal-to-noise ratio (SNR) and the ability to resist multi-path propagation. However, chaos has a broad band frequency spectrum, which impedes its application in the conventional wireless communication systems due to the antenna and transducer bandwidth. To deal with such problem, the chaos generated by a second order hybrid system (SOHS) with a fixed basis function is used for Differential Chaos Shift Keying (DCSK) communication. A sinusoidal and its orthogonal signal are used to separate the reference signal and the information bearing signal, which are transmitted in the wireless channel. In such a way, the obstacle to broadband signal transmission in a wireless channel is overcome. A matched filter, using the convolution of the received signal and the time reverse of the basis function, maximizes the SNR at the receiver. Moreover, the proposed SOHS-DCSK provides an additional bitstream due to the chaotic signal generated by the SOHS, being capable to encode information as well. The two information sub-streams can be transmitted simultaneously in the proposed method, which possesses different bit transmission rates and reliability. In this way, the High Priority (HP) information bits are transmitted at a low transmission rate, while the Low Priority (LP) information bits are transmitted at a higher transmission rate. Hence, the proposed SOHS-DCSK method not only provides a higher data transmission rate as compared to the conventional DCSK but also makes the transmitted signal to be compatible with the conventional transducer and antenna. Due to the matched filter used, the proposed method achieves a lower bit error rate of the HP information as compared to the other existing enhanced DCSK variants for both additive white Gaussian noise channel and wireless communication channel. The numerical simulations and experiments based on the wireless open-access research platform show the validity and superiority of the proposed method. INDEX TERMS Chaotic shape forming filter, matched filter, DCSK, wireless communication.

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“…With chaos phase modulation techniques, a synchronized copy of the chaotic symbol signal is generated at the receiver side and the demodulation is performed by exploiting this replica in different methods to recover the transmitted data, which is known as a coherent communication system [37]. Compared to the nonherent systems, such as differential chaos shift keying, chaos phase modulation does not have the problem of low data transmission rate, in which half of bit energy is used to transmit the reference signal [38,39]. Because it modulates the phases of the carrier wave with chaos sequence, which can provide a huge number of modulation keyings and code resources, it can also overcome the problem of periodicity and binary values caused by conventional PN sequences.…”

Section: Introductionmentioning

confidence: 99%

Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication

Marzani

Yang

2018

Sensors

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The chaos phase modulation sequences consist of complex sequences with a constant envelope, which has recently been used for direct-sequence spread spectrum underwater acoustic communication. It is considered an ideal spreading code for its benefits in terms of large code resource quantity, nice correlation characteristics and high security. However, demodulating this underwater communication signal is a challenging job due to complex underwater environments. This paper addresses this problem as a target classification task and conceives a machine learning-based demodulation scheme. The proposed solution is implemented and optimized on a multi-core center processing unit (CPU) platform, then evaluated with replay simulation datasets. In the experiments, time variation, multi-path effect, propagation loss and random noise were considered as distortions. According to the results, compared to the reference algorithms, our method has greater reliability with better temporal efficiency performance.

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Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

Cited by 32 publications

References 33 publications

Editorial for Special Issue: Underwater Acoustics, Communications, and Information Processing

Editorial for Special Issue: Underwater Acoustics, Communications, and Information Processing

Experimental Phase Separation Differential Chaos Shift Keying Wireless Communication Based on Matched Filter

Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication

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