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

Altun, Kenan; Günay, Enis

doi:10.3906/elk-1904-186

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…In the late 1990s and early 2000s, several communication schemes were proposed based on dynamic chaos without the use of chaotic synchronization. Among them, a DCC (Direct Chaotic Communications) scheme [16][17][18][24][25][26]31,32] (Figure 1), as well as a COOK (Chaos On-Off Keying) scheme, which is closely related to DCC [11,14,33], belong to the first type of schemes (with energy reception), whereas a DCSK (Differential Chaotic Shift Keying) scheme [11,[13][14][15]34] and a CDSK (Correlation Delay Shift Keying) scheme [15] belong to differential methods. In terms of statistical characteristics, these systems were close to classical narrowband non-coherent communications.…”

Section: Non-coherent Communication Using Chaotic Signalsmentioning

confidence: 99%

Statistical Characteristics of Differential Communication Scheme Based on Chaotic Radio Pulses

2023

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The aim of this paper is to analyze statistical characteristics of the new differential communication scheme based on chaotic radio pulses in the presence of additive white noise (Gaussian) and using various distributions of instantaneous values of the chaotic signal. The characteristic feature of the presented scheme is the usage of significantly shorter time delays compared to the classical differential chaotic shift keying (DCSK) scheme. In order to investigate noise immunity of the direct chaotic differential communication (DC2) scheme, numerical statistical simulation is performed in terms of the bit error probability (BER) of the transmitted information. Then, the results of this simulation are compared to the results of analytical research. It is shown that due to the inherent internal noises of the scheme, the bit error probability (BER) for arbitrarily large values of the ratio of the signal energy to the Gaussian noise spectral density (Eb/N0) is higher than 10−3 for the values of processing gain K < 30 for any distribution of instantaneous values of the chaotic signal. With the increase of the K values, there is a rapid decrease in BER in a system with a channel without white noise. Numeric simulation is performed, which verifies and clarifies the analytical estimates obtained earlier regarding the bit error probabilities as functions of processing gain and ratio of the signal energy to the Gaussian noise spectral density. The minimum values of Eb/N0 are obtained, which provide necessary error probabilities with the processing gain set. It is shown that with a high processing gain (K > 30), the communication scheme considered here operates effectively both in a channel without fluctuation noises and in a channel with additive white Gaussian noise. The statistical characteristics of the proposed scheme do not depend on the choice of a particular distribution of instantaneous values of the chaotic signal. Taking into account that the scheme uses short delays, which do not depend on the processing gain of the used signal and are easily implemented, for example, on fragments of a high-frequency cable, the results obtained show good prospects for its implementation in a physical experiment.

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Section: Non-coherent Communication Using Chaotic Signalsmentioning

confidence: 99%

Statistical Characteristics of Differential Communication Scheme Based on Chaotic Radio Pulses

2023

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“…The PRNGs are based on deterministic functions that are implemented in the digital domain using the computers or the Field Programmable Gate Arrays (FPGAs). In the previous years, the chaos theory has played an important role in the design of the PRNGs, image hashing [60], and modulation schemes [61]. The Rössler [6] and Lorenz [7] are two of the most famous chaotic systems, and they have been utilized in a lot of encryption applications [8,9].…”

Section: B Image Encryptionmentioning

confidence: 99%

On-the-Fly Parallel Processing IP-Core for Image Blur Detection, Compression, and Chaotic Encryption Based on FPGA

et al. 2021

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This paper presents a 3 in 1 standalone FPGA system which can perform color image blur detection in parallel with compression and encryption. Both blur detection and compression are based on the 3-level Haar wavelet transform, which is used as a common building block to save the resources. The compression is based on performing the hard thresholding scheme followed by the Run Length Encoding (RLE) technique. The encryption is based on the 128-bit Advanced Encryption Standard (AES), which is considered one of the most secure algorithms. Moreover, the modified Lorenz chaotic system is combined with the AES to perform the Cipher Block Chaining (CBC) mode. The proposed system is realized using HDL and implemented using Xilinx on XC5VLX50T FPGA. The system has utilized only 25% of the available slices. Furthermore, the system can achieve a throughput of 3.458 Gbps, which is suitable for realtime applications. To validate the compression performance, the system has been tested with all the standard 256×256 images. It is shown that depending on the amount of details in the image, the system can achieve 30dB PSNR at compression ratios in the range of (0.08-0.38). The proposed system can be integrated with digital cameras to process the captured images on-the-fly prior to transmission or storage. Based on the application, the blurred images can be either marked for future enhancement or simply filtered out.

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FPGA realization of an image encryption system using the DCSK-CDMA technique

Estudillo-Valdez,

Adeyemi,

Nuñez-Perez

2024

Integration

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

Cited by 3 publications

References 15 publications

Statistical Characteristics of Differential Communication Scheme Based on Chaotic Radio Pulses

Statistical Characteristics of Differential Communication Scheme Based on Chaotic Radio Pulses

On-the-Fly Parallel Processing IP-Core for Image Blur Detection, Compression, and Chaotic Encryption Based on FPGA

FPGA realization of an image encryption system using the DCSK-CDMA technique

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