A generalized methodology for bit-error-rate prediction in correlation-based communication schemes using chaos

Kaddoum, Georges; Chargé, Pascal; Roviras, Daniel

doi:10.1109/lcomm.2009.090715

Cited by 86 publications

(51 citation statements)

References 11 publications

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“…For a high number of samples R, the bit energy E b can be assumed constant [27]. In this case, and for L independent and identically distributed (i.i.d) Rayleigh-fading channels, the PDF of the instantaneous γ can be written as [28] …”

Section: B Sr-dcsk System Architecturementioning

confidence: 99%

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Design of a Short Reference Noncoherent Chaos-Based Communication Systems

Kaddoum

Soujeri

Nijsure

2016

IEEE Trans. Commun.

141

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Abstract-Data rate and energy efficiency decrement caused by the transmission of reference and data carrier signals in equal portions constitute the major drawback of differential chaos shift keying (DCSK) systems. To overcome this dominant drawback, a short reference DCSK system (SR-DCSK) is proposed. In SR-DCSK, the number of chaotic samples that constitute the reference signal is shortened to R such that it occupies less than half of the bit duration. To build the transmitted data signal, P concatenated replicas of R are used to spread the data. This operation increases data rate and enhances energy efficiency without imposing extra complexity onto the system structure. The receiver uses its knowledge of the integers R and P to recover the data. The proposed system is analytically studied and the enhanced data rate and bit energy saving percentages are computed. Furthermore, theoretical performance for AWGN and multipath fading channels are derived and validated via simulation. In addition, optimising the length of the reference signal R is exposed to detailed discussion and analysis. Finally, the application of the proposed short reference technique to the majority of transmit reference systems such as DCSK, multicarrier DCSK, and quadratic chaos shift keying enhances the overall performance of this class of chaotic modulations and is, therefore, promising.

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Section: B Sr-dcsk System Architecturementioning

confidence: 99%

“…Since an analytical solution the integral provided in equation (27) is not easy to find, we will use numerical integration as an alternative solution to compute the average BER. The numerical integration of equation (27) is performed as…”

Section: B Sr-dcsk System Architecturementioning

confidence: 99%

Design of a Short Reference Noncoherent Chaos-Based Communication Systems

Kaddoum

Soujeri

Nijsure

2016

IEEE Trans. Commun.

141

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“…The blanking method that is introduced in this study can nullify the effects of impulsive noise [6] to a large extent. Various chaos-based communication systems with both coherent and non-coherent detection have been proposed in the last decade [7]- [10]. This is due to the fact that, chaotic signals have instinctive wideband characteristics that make them a very well fit for various spread spectrum modulation schemes.…”

Section: Introductionmentioning

confidence: 99%

Performance of DCSK system with blanking circuit for power-line communications

Kaddoum

Tadayon

Soujeri

2016

2016 IEEE International Symposium on Circuits and Systems (ISCAS)

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Abstract-Providing from the robustness of differential chaos shift keying (DCSK) against linear and non-linear channel distortions, in this paper, we propose using this non-coherent modulation with blanking device as a potential candidate for implementation in power-line communications. The performance of this system is analyzed in the general case where background, impulsive and phase noises exist. We derive the probability of blanking error as well as the bit error rate with and without blanking. Moreover, the proposed system is compared to differential phase shift keying (DPSK) modulation to highlight the robustness of DCSK scheme against phase noise imperfection.

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“…In a coherent system, there is a need for the chaotic basis function to be available at the receiver while in noncoherent system, the existence of replica of the chaotic sequence in the receiver is not necessary for the detection process. Most of the proposed non-coherent systems use a reference signal method to despread the sequences at the receiver [2]- [8]. In DCSK, every single bit is represented by two similar chaotic sample functions.…”

Section: Introductionmentioning

confidence: 99%

Design of Enhanced Differential Chaos Shift Keying Scheme

Bassam¹

2014

LNSE

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Abstract-In this paper, a new noncoherent DifferentialChaos Shift Keying is proposed and named Extended -Differential Chaos Shift Keying (E-DCSK). Each pair of bits is modulated using two different versions of the same chaotic reference signal; the first information bit is modulated with the chaotic reference signal block while the next information bit is modulated after reversing samples' order of the same reference block. This saves the transmitted signal energy in addition to reduce the repeated components in the signal spectrum. Bit-error performance in additive-white-Gaussian-noise of the proposed system is analyzed and compared with the other chaos based communication systems. Results show that the bit-error rate performanceof the E-DCSK is often better than other schemes when spreading factorisrelatively low. Also, clear matching between theoretical analysis and simulation result is observed.

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A generalized methodology for bit-error-rate prediction in correlation-based communication schemes using chaos

Cited by 86 publications

References 11 publications

Design of a Short Reference Noncoherent Chaos-Based Communication Systems

Design of a Short Reference Noncoherent Chaos-Based Communication Systems

Performance of DCSK system with blanking circuit for power-line communications

Design of Enhanced Differential Chaos Shift Keying Scheme

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