A chaotic spread spectrum system for underwater acoustic communication

Ren, Hang; Kong, Qing-Ju; Bai, Chao

doi:10.1016/j.physa.2017.02.036

Cited by 53 publications

(32 citation statements)

References 32 publications

(69 reference statements)

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“…where ⌈−τ l f ⌉ represents the ceiling integer of −τ l f . Equation (10) shows that the return map of r(t) is related to the current symbol s n and the past symbols s n+⌈−τ l f ⌉ . For a single path channel, the return map of r(t) is shown in Fig.…”

Section: Chaos-based Wireless Communication Systemmentioning

confidence: 99%

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Chaos-based wireless communication resisting multipath effects

Yao

Ren

et al. 2017

Phys. Rev. E

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In additive white Gaussian noise channel, chaos has been shown to be the optimal coherent communication waveform in the sense of using a very simple matched filter to maximize the signalto-noise ratio. Recently, Lyapunov exponent spectrum of the chaotic signals after being transmitted through a wireless channel has been shown to be unaltered, paving the way for wireless communication using chaos. In wireless communication systems, inter-symbol interference caused by multipath propagation is one of the main obstacles to achieve high bit transmission rate and low bit-error rate (BER). How to resist the multipath effect is a fundamental problem in a chaos-based wireless communication system (CWCS). In this paper, a CWCS is built to transmit chaotic signals generated by a hybrid dynamical system and then to filter the received signals by using the corresponding matched filter to decrease the noise effect and to detect the binary information. We find that the multipath effect can be effectively resisted by regrouping the return map of the received signal and by setting the corresponding threshold based on the available information. We show that the optimal threshold is a function of the channel parameters and of the information symbols. Practically, the channel parameters are time-variant, and the future information symbols are unavailable. In this case, a suboptimal threshold is proposed, and the BER using the suboptimal threshold is derived analytically. Simulation results show that the CWCS achieves a remarkable competitive performance even under inaccurate channel parameters.

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Section: Chaos-based Wireless Communication Systemmentioning

confidence: 99%

“…Chaos has attracted lots of attention in the communication field [4][5][6][7][8][9][10][11] since 1990, due to its intrinsic properties suitable for communication applications [12], such as broadband, orthogonality, easy to generate, and pseudorandomness, etc. The maximum rate of communication with chaos was reported in [4,13].…”

Section: Introductionmentioning

confidence: 99%

Chaos-based wireless communication resisting multipath effects

Yao

Ren

et al. 2017

Phys. Rev. E

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“…The characteristics of the underwater acoustic channel are given in References [14,37], and the parameters used in this paper are given here in Table A1. …”

Section: Appendix a The Underwater Acoustic Channelmentioning

confidence: 99%

Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

et al. 2018

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Abstract:In this work, an enhanced differential chaos shift keying (DCSK), based on a first order hybrid chaotic system, is being proposed for a high reliability underwater acoustic communication system. It can be integrated into systems that use standard existing transducers. We show that a coherent operation between the received signal and the time reversal of the basis function in a first order hybrid chaotic system maximizes the signal to noise ratio at the receiver. Concurrently, DCSK configuration is used to resist the distortion caused by the complex underwater acoustic channel. Our simulation results show that the proposed method has lower bit error rate (BER). In addition, it shows higher communication reliability over underwater acoustic channel as compared to the conventional DCSK using logistic map and its variant forms such as Correlation Delay Shift Keying (CDSK), Phase-Separate DCSK (PS-DCSK), High Efficiency DCSK (HE-DCSK), and Reference Modulated DCSK (RM-DCSK).

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“…Code-shift DCSK [28] Reference modulated DCSK [29] improved security Permutation index DCSK [30,31] Others Continuous mobility DCSK [32] DCSK-based automatic repeat request [33] Relay-based DCSK [34,35] using a hybrid chaotic system and impulse control [41,42]. Along this way, the intersymbol interference caused by multipath was decreased using a chaos property [43].…”

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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A chaotic spread spectrum system for underwater acoustic communication

Cited by 53 publications

References 32 publications

Chaos-based wireless communication resisting multipath effects

Chaos-based wireless communication resisting multipath effects

Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

Experimental Wireless Communication Using Chaotic Baseband Waveform

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