I-DCSK: An Improved Noncoherent Communication System Architecture

Kaddoum, Georges; Soujeri, Ebrahim; Calderón, Carlos Arcila; Eshteiwi, Khaled

doi:10.1109/tcsii.2015.2435831

Cited by 88 publications

(67 citation statements)

References 20 publications

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“…The DCSK and its modified versions exhibit both low bit error rate (BER) and robustness against channel distortion [23][24][25][26]. Most of the previous researcher focused on the problem of low data transmission rate [25][26][27][28][29][30][31], in which half of bit energy is used to transmit the reference signal. In Reference [27], Yang and Jiang proposed a Reference-Modulated DCSK (RM-DCSK) system; the first information bit is sent in the first time slot, and the waveform in the second slot carries not only the second information bit but also the reference signal of the next frame.…”

mentioning

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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confidence: 99%

Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

et al. 2018

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“…Notably, at BER = 10 −4 , the promotions of SNR threshold are about 0.5 dB and 1.2 dB separately. Compared with the simulation results of chaos-based communication systems DCSK and I-DCSK presented in [Kaddoum et al, 2015], obviously the Duffing digital receiver owns better noise immunity property. Figure 12(b) shows the simulation results in multipath Rayleigh fading channel except Data3 which shows the curves under AWGN channel.…”

Section: Simulation Results and Conclusionmentioning

confidence: 89%

“…(14) as the new concept receiver in the AWGN channel except Data6, Data7. During the simulation, the corresponding receiver Data3 is obtained under the condition of fixed primary phase of carrier signal, but the Data of new concept receiver and chaotic DPSK receiver are simulated on the condition of random primary [Kaddoum et al, 2015]. From Fig.…”

Section: Simulation Results and Conclusionmentioning

confidence: 99%

The DPSK Signal Noncoherent Demodulation Receiver Based on the Duffing Oscillators Array

Yong-qing

Zhang

et al. 2016

Int. J. Bifurcation Chaos

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Chaotic communication requires the knowledge of corresponding phase relationship between the primary phase of Duffing oscillator's internal driving force and the primary phase of the undetected signal. Currently, there is no method of noncoherent demodulation for DPSK (Differential Phase Shift Keying) signal and mobile communication signal by Duffing oscillator. To solve this problem, this study presents a noncoherent demodulation method based on the Duffing oscillators array and Duffing oscillator optimization. We first present the model of Duffing oscillator and its sensitivity to undetected signal primary phase. Then the zone partition is proposed to identify the Duffing oscillator's phase trajectory, and subsequently, the mathematical model and implementation method of the Duffing oscillators array are outlined. Thirdly, the Duffing oscillator optimization and its adaptive strobe technique are proposed, also their application to DPSK signal noncoherent demodulation are discussed. Finally, the design of new concept DPSK chaotic digital receiver based on the Duffing oscillators array is presented, together with its simulation results obtained by using SystemView simulation platform. The simulation results suggest that the new concept receiver based on the Duffing oscillator optimization of Duffing oscillators array owns better SNR (signal-to-noise ratio) threshold property than typical existing receivers (chaotic or nonchaotic) in the AWGN (additive white Gaussian noise) channel and multipath Rayleigh fading channel. In addition, the new concept receiver may detect mobile communication signal.

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“…Therefore, by using expression (6) and (7) the mean and variance of the decision variable at the output of the j th correlator, for i th symbol, can be approximated as…”

Section: A Ber Analysis Of Cci-dcskmentioning

confidence: 99%

Commutation Code Index DCSK Modulation Technique for High-Data-Rate Communication Systems

Herceg¹,

Vranješ²,

Kaddoum

et al. 2018

IEEE Trans. Circuits Syst. II

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Abstract-In this work, a novel non-coherent modulation system named Commutation Code Index Differential Chaos Shift Keying (CCI-DCSK) is presented. In the proposed scheme, the benefits of index modulation (IM) are exploited so that the system energy and spectral efficiencies are improved. We are putting forward a CCI-DCSK scheme in which the reference sequence along with its corresponding data bearing orthogonal version are sent within the same time slot to enhance spectral efficiency. Specifically, at the transmitter p additional bits are mapped into the index of the repetition commutation which is performed on the reference signal for the sake of forming its orthogonal version. Furthermore, the modulated bit is spread by the corresponding commutated replica of the reference signal. The reference and orthogonal data bearing signals are then summed within the same time slot prior to transmission. At the receiver, the received signal is first correlated with all possible combinations of the commutated replicas in order to find the index of the correlator output with the maximum magnitude. Subsequently, the maximizing index is then used to estimate the mapped bits, while the output of the corresponding correlator is used to despread the modulated bit via a zero-threshold comparator. To complete the study, analytical expressions for the bit error rate (BER) are derived for both additive white Gaussian noise (AWGN) and multipath Rayleigh fading channels. Finally, performance results of the proposed CCI-DCSK scheme is compared with the state-of-the-art IM-based non-coherent chaotic modulations and is found to be superior and competitive.

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I-DCSK: An Improved Noncoherent Communication System Architecture

Cited by 88 publications

References 20 publications

Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

The DPSK Signal Noncoherent Demodulation Receiver Based on the Duffing Oscillators Array

Commutation Code Index DCSK Modulation Technique for High-Data-Rate Communication Systems

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