BER analysis and application in FPGA and FPAA based communication systems

Günay, Enis; Altun, Kenan

doi:10.1109/idap.2017.8090227

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…Digital implementation of the four-dimension autonomous hyperchaotic system on a Field Programmable Gate Array (FPGA) for creating a chaotic secure communication system using a XILINX VERTEX5 chip recently reported by Tami et al [14]. Bit error rate analysis in FPGA/FPAA based communication systems by using Arduino in a Matlab/Simulink environment with Sprott chaotic generator performed by Günay and Altun in [15]. The approach of chaotic system simulation in the Arduino platform is described by Silva, et al in [16].…”

Section: Brief Overview Of System Hardware Implementation Issuesmentioning

confidence: 99%

“…To compare the obtained results, the chaotic system was estimated using the least squares method in Section 3.7. In Section 4.1, some hardware system implementation options on an Arduino, Raspberry Pi and FPGAs are discussed based on examples from other studies described earlier [14][15][16][17][18][19][20]. Besides Section 4 provides examples of system software implementation, including an example of digital data software transmission (Section 4.2) and secured image transmission via the designed system in Section 4.3.…”

Section: Introductionmentioning

confidence: 99%

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A Data Secured Communication System Design Procedure with a Chaotic Carrier and Synergetic Observer

Mushenko

Dzuba²,

Nekrasov

et al. 2020

Electronics

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We have considered the problem of secure communication by means of chaotic carrier communication channels. Data protection is provided if the signal in the communication channel looks like a stochastic or noisy one, i.e., by the steganography property, and also by using advanced and secured approaches of mixing a useful signal into a chaotic carrier. The problem is to find effective and efficient techniques for useful signal reconstruction at the receiver side. We firstly use a synergetic nonlinear mathematical observer to recover the two useful signals transmitted simultaneously over a single communication channel. Compared to a known observer, the synergetic one operates with initial nonlinear models, i.e., it may be applied directly to chaotic systems. In that system structure, we consider the useful signals as unobservable variables and estimate them by the given model of a chaotic generator. A chaotic data transmission system with two channels is demonstrated; the presented mathematical procedure explains the steps of synergetic two-channel observer design. Computer simulation results prove the viability of our approach. The proposed data transmission scheme and the observer design procedure provide effective transmission and reconstruction of informational signals. Reconstruction error is up to approximately 25% but has a very short pulses shape and could be eliminated with further analog or digital filtering algorithms. As an example application, simulation of image transmission and recovery is demonstrated. The study's results may be used as a basis for further research into secure data transmission system design.Electronics 2020, 9, 497 2 of 24 Related Works and Methods OverviewThe overall issues and approaches of chaotic communications when using chaotic modulation schemes were briefly described by Riaz and Ali [21]. According to their study [21], the most common modulation schemes are: chaos shift keying (CSK); differential chaos shift keying (DCSK); additive chaos modulation (ACM); and multiplicative chaos modulation (MCM). CSK and DCKS provide secure communication by shifting between two identical or different chaotic generators. ACM and MCM provide mixing of the useful signal directly into the mathematical model of a chaotic generator in a linear (additive) or nonlinear (multiplicative) manner. In all of these schemes, one of the data secure factors is a chaotic carrier signal frequency ten times greater than the useful signal frequency or more. ACM with a combination of MCM was explored by Kevin Short in the 1990s [22] in several Electronics 2020, 9, 497 3 of 24 papers, where he proves that this kind of combined modulation does not provide security for a 3rd order system. In addition, we note that using only MCM is a more secure approach due to nonlinear mixing of the useful signal and MCM as a secure scheme is thus widely used in much research as indicated below. Different approaches and applications of chaotic data communication systems design have been illustrated in several recent papers [23][2...

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Section: Brief Overview Of System Hardware Implementation Issuesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Data Secured Communication System Design Procedure with a Chaotic Carrier and Synergetic Observer

Mushenko

Dzuba²,

Nekrasov

et al. 2020

Electronics

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“…The reliability of the communication system decreases when the chaos signal is periodic. Therefore, the use of noncoherent structures became much more important in analogue-based chaotic communication systems [20].…”

Section: Experimental Realization Of the Proposed Atl-cook On Fpaamentioning

confidence: 99%

A novel chaos-based modulation scheme: adaptive threshold level chaotic on–offkeying for increased BER performance

Altun¹,

Günay²

2020

Turk J Elec Eng & Comp Sci

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A novel modulation scheme called adaptive threshold level-chaotic on-off keying (ATL-COOK) is proposed. This scheme is applied to direct chaotic communication (DCC) systems where the chaotic signals are used as carrier signals. The objective of the proposed adaptive method is to increase the low BER versus SNR performance caused by the constant threshold voltage level. In the proposed method, the communication signal received by the receiver circuits was defined as a Dirac delta function and a comparison signal was obtained from this signal. Then the BER versus SNR performance was analyzed and compared with that of various chaotic generator structures by using an instantaneous adaptive signal instead of a constant threshold voltage in the receiver circuit decision block. Both the simulation results and the experiments show the efficiency of the proposed method.

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“…For binary baseband signal, a higher carrier frequency (f H ) called mark frequency is produced for a binary '1', whereas for binary '0', a lower carrier frequency (f L ) called as space frequency is produced. Numerous efforts have been reported [1][2][3][4][5][6][7][8][9][10] that assess BFSK over different channels. The contribution of this paper is an attempt to assess the performance of a BFSK signal in both the additive white Gaussian noise (AWGN) as well as frequency flat Rayleigh fading channels using simulations carried out on MATLAB as well as SIMULINK.…”

Section: Introductionmentioning

confidence: 99%

Simulink and FPAA Implementation of FSK Signals

Choudhury

Tripathy

2021

Lecture Notes in Electrical Engineering

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Fundamental to all wireless communication is modulation, the process in which the message data is transmitted on a high frequency radio carrier. Most of the wireless transmissions today are digital as it has more advantages than analog; the effect of distortion, noise, interference is minimized through the use of ingenious digital signal processing as compared to analog communication system. In this paper, we have considered binary frequency shift keying (BFSK) as the modulation technique to send data over a wireless channel. The corresponding demodulator is responsible for retrieving the transmitted data from the noisy, faded signal as impacted by the channel. The metric usually used to evaluate a digital modulation scheme is its average probability of bit error. We have evaluated the bit error rate (BER) of BFSK signals in both the additive white Gaussian noise (AWGN) and flat Rayleigh fading channels. The evaluation has been carried out in both MATLAB and SIMULINK platforms which are subsequently validated by the corresponding theoretical values. After the simulated, BER values are verified and matched with their corresponding theoretical values, hardware realizations have been attempted. The contribution of this paper is (a) the BER evaluation of BFSK through MATLAB simulation and SIMULINK platform, followed by theoretical validations in two different channels and (b) investigation of a hardware platform called Field Programmable Analog Array (FPAA) to build and test a BFSK modulator demodulator (MODEM). Test results show promising outcomes as to the suitability of such MODEM. Indeed data is retrieved at the expense of a small delay.

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BER analysis and application in FPGA and FPAA based communication systems

Cited by 3 publications

References 8 publications

A Data Secured Communication System Design Procedure with a Chaotic Carrier and Synergetic Observer

A Data Secured Communication System Design Procedure with a Chaotic Carrier and Synergetic Observer

A novel chaos-based modulation scheme: adaptive threshold level chaotic on–offkeying for increased BER performance

Simulink and FPAA Implementation of FSK Signals

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