Structure and performance analysis of an S
            <i>α</i>
            S‐based digital modulation system

Xu, Zhijiang; Wang, Kang; Gong, Yi; Lu, Weidang; Hua, Jingyu

doi:10.1049/iet-com.2015.0761

Cited by 11 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The received signal in AWGN case and the Gaussian noise w are introduced to the transmitted signal s with α-stable distributed, i.e., r = s + w, where s ∼ S α (β, γ). Existing study [19] states that the mixed signal, i.e., r, can be regarded as a univariate α-stable distributed signal with the characteristic exponent α m and the dispersion γ m . Therefore, the characteristic exponent of the received signal is different from the characteristic exponent of the transmitted signal, i.e., α = α m .…”

Section: Monte Carlo Evaluationmentioning

confidence: 99%

“…The characteristic exponent of a SαS distributions sequence to encode the binary message is proposed in [18]. The characteristic exponent estimator based on logarithmic moment is used to estimate the exponent α to recover the binary message, whereas the optimal decision threshold and the minimum bit error rate (BER) are derived in [19]. However, the SαS noise sequence with different characteristic exponents has an obvious significant difference in impulsivity in the time domain.…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Covert Digital Communication System Using Skewed α-Stable Distributions for Internet of Things

Jin

Zhou

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Information security is a key issue involved in the utilization of different technological innovations, such as the Internet of Things (IoT). This study proposes a new covert communication scheme in which the transmitted waveform modulated by the covert bit is statistically similar to the background noise to achieve information security. The impulsive noise in many communication fields can be well modeled with a symmetrical α-stable distribution. Thus, the proposed scheme exploits skewed α-stable distributions to conduct the covert bit. The polarity transition of the skewness parameter within the first and second halves of a bit period represents a covert bit. The resultant signal exhibits a near-symmetrical behavior similar to ambient interference to achieve concealment. The sample skewness estimator based on the signed fractional lower order moment is used to determine the binary message at the receiver. Then, the expression of the skewness estimator and its probability density function are derived. With the aid of the hard decision, the theoretical expression of the bit error rate of the proposed communication system is obtained. The proposed scheme works at the physical layer with the advantages of simple structure, easy implementation, and extreme suitability with low-cost, resource-limited IoT devices exhibiting low-rate transmission. INDEX TERMS α-stable distributions, Skewness, Covert communication, Internet of Things. I. INTRODUCTION G IVEN the rapid development of different technological innovations, such as the Internet of Things (IOT), various terminals and subnets of devices are commonly utilized in the current era. IoT connects different terminals and enables data exchange via numerous wireless communication methods and networks, such as the 5G [1], wireless sensor network (WSN), and HetNet [2, 3]. Thus, the demand for security

show abstract

Section: Monte Carlo Evaluationmentioning

confidence: 99%

mentioning

confidence: 99%

A Covert Digital Communication System Using Skewed α-Stable Distributions for Internet of Things

Jin

Zhou

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Xu 等 [24] 在 Cek 等 [17] 的基础上, 接收端采用了对数矩的方法来估计接收到信号的特征指数值, 以提高通信系统的误比特率性能; 分析和推导了在无噪声/平坦/频率选择性衰落信道下的理论误比特率 P b 与参数比特周期 T b , 特征指数 α 0 , α 1 之间的关系. 从文献 [24] 中的图 6 可以看出, 在无噪声无衰落的理想信道条件下, 当 α 0 = 1, α 1 = 2, T b = 200 时的误比特率大于 0.01. 从图 7(a) 可看出, 本文提出的方法, 在几何信噪比 ρ = −5 dB 时, 误比特率小于 0.01, 而且, 误比特率随几何信噪比的增大而快速降低.…”

Section: 通信系统结构unclassified

A novel covert communication system based on symmetric ${\alpha}$-stable distribution

et al. 2017

Self Cite

View full text Add to dashboard Cite

A novel structure for covert communication is proposed in this study. The correlation coefficient of two adjacent symmetric α-stable (SαS) noise sequences is modulated by the binary message sequence to achieve a covert communication system. In order to reduce the correlation of the modulated signal in the time domain, the modulated signal is scrambled by an interleaver. To verify the covertness of the proposed communication system, an improved circulation spectral density function is employed to detect whether the transmitted signal exists. The simulation results show that the proposed system has strong concealment. Moreover, the bit error rate (BER) performance is simulated and analyzed. The results show that the system has a good performance.

show abstract

“…However, after almost 15 years, Cek et al introduced RCS in which symmetric alphastable (SαS) and skewed α-stable noises are random carriers which are information bearing signals [17,18]. Different receiver designs for SαS and skewed α-stable noise-based RCSs were also introduced to increase the bit error rate (BER) performance [19][20][21]. Also, a new model of RCS based on joint normal distribution has been introduced by Xu et al in [22].…”

Section: Introductionmentioning

confidence: 99%

Synchronisation of alpha‐stable levy noise‐based Random Communication System

Ahmed

Savacı

2018

IET Communications

View full text Add to dashboard Cite

In this study, the pilot-assisted synchronisation method for a random communication system (RCS) has been proposed. The pilot symbol, which has alpha-stable distribution, has been used to establish synchronisation and to maintain covertness in the RCS. The introduced synchronisation block (SB) consists of fractional lower-order covariance-based correlators (FLOCCs), threshold detectors (TDs) and the synchronisation control block. To measure the performance of the proposed SB, the performance criterion, i.e. confidence ratio (CR), has been proposed. The reliability of the proposed SB can be enhanced by altering the CR and the achieved CR by using the FLOCCs and TDs in SB.

show abstract

Structure and performance analysis of an S α S‐based digital modulation system

Cited by 11 publications

References 28 publications

A Covert Digital Communication System Using Skewed α-Stable Distributions for Internet of Things

A Covert Digital Communication System Using Skewed α-Stable Distributions for Internet of Things

A novel covert communication system based on symmetric ${\alpha}$-stable distribution

Synchronisation of alpha‐stable levy noise‐based Random Communication System

Contact Info

Product

Resources

About