Article
Computer Science, Information Systems
Peng Kang, Ziqiang Zhu, Zhijian Lin, Pingping Chen, Yong Li
Summary: In this letter, a scheme combining pulse position modulation (PPM) and permutation index differential chaos shift keying (PI-DCSK) modulation is proposed to improve data rate and performance. The proposed scheme is shown to outperform existing DCSK-based schemes, and its superiority and feasibility are demonstrated in multipath Rayleigh fading channels and typical ultra-wideband channels.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Haoyu Chen, Pingping Chen, Yi Fang, Feng Chen, Lingjun Kong
Summary: This paper proposes a parallel CIM-DCSK (PT-CIM-DCSK) communication scheme that uses multiple chaotic sequences and Walsh codes for parallel transmission, resulting in increased data rate and improved interference suppression in multipath fading channels. The theoretical analysis and simulation results demonstrate significant performance gains of PT-CIM-DCSK over conventional CIM-DCSK.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Mathematics, Interdisciplinary Applications
Doan Thi Que, Nguyen Xuan Quyen, Thang Manh Hoang, Christos Volos, Stevan Berber
Summary: This paper investigates a chaotic communication system called 2T2R-IDCSK, highlighting the differences in correlation characteristics between conventional and time-reversed chaotic sequences. The system's BER performance over an AWGN channel is analyzed considering the correlation effect, showing that 2T2R-IDCSK performs worse under this effect but still outperforms conventional 2x2 MIMO-DCSK system significantly.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2021)
Article
Engineering, Electrical & Electronic
Yi Fang, Junming Zhuo, Huan Ma, Shahid Mumtaz, Yonghui Li
Summary: We propose a new index-modulation-aided differential chaos shift keying (DCSK) system, the CTIM-DCSK system, that utilizes frequency and time resources for high-data-rate transmissions. The system uses orthogonal sinusoidal carriers to transmit reference-chaotic and information-bearing signals, while the frequency and time resources are used as indices for additional information bits. The proposed CTIM-DCSK system improves bit error rate (BER) performance and complexity reduction by using time slots to convey the same index bits. Noise reduction methods at the receiver further enhance BER performance. The theoretical BER expressions are derived and compared with existing counterparts, confirming the accuracy and advantage of the proposed CTIM-DCSK system. Therefore, it is a competitive candidate for low-complexity Internet-of-Things applications.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Ronghua Luo, Hua Yang, Hua Shi, Jun Lei
Summary: A novel ambient backscatter communication system utilizing DCSK modulation signals is proposed in this paper. A joint design of modulation waveform and signal detector is introduced to cancel out interference and reduce noise impact. Information bits are recovered by comparing correlation values, resulting in reduced detector complexity.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2021)
Article
Computer Science, Information Systems
Tung T. Nguyen, Ha H. Nguyen
Summary: This article introduces a practical and low-complexity coherent receiver for the PSK-CSS modulation scheme. A novel method for coarse timing and frequency synchronization is proposed using a preamble and filters. Simple phase-locked loop circuits are designed for fine synchronization, timing, and phase. The proposed design outperforms existing designs in terms of performance and computational complexity. Extensive simulation results demonstrate the excellent performance and benefits of the design.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Haotian Zhang, Lin Zhang, Yuan Jiang, Zhiqiang Wu
Summary: In this paper, we propose an intelligent OFDM-DCSK transceiver design based on deep learning to enhance the reliability and security performances of vehicular channels. By utilizing time-delay neural network and long short-term memory units, the correlations between chaotic modulated signals are learned and exploited. Simulation results demonstrate that the proposed intelligent system can achieve better bit error rate and security performances over fast fading and railway channels compared with benchmark systems.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Doan Thi Que, Nguyen Xuan Quyen, Thang Manh Hoang
Summary: Improved-differential chaos-shift keying (I-DCSK) with time-reversed chaotic sequences shows good performance in terms of bit-error-rate (BER) and spectral efficiency, especially in land mobile satellite applications. The differences in cross-correlation characteristics between time-reversed and conventional chaotic sequences are highlighted in the study on BER performance of the I-DCSK system.
PHYSICAL COMMUNICATION
(2021)
Article
Engineering, Electrical & Electronic
Haipin Chen, Pingping Chen, Shaohao Wang, Songlin Lai, Riqing Chen
Summary: In this paper, a reference-modulated permutation index differential chaos shift keying (RM-PI-DCSK) scheme is proposed for multipath fading channels. The scheme utilizes the quasi-orthogonal property between different permutated chaotic signals to suppress inter-sequence interference and recover desired information. The results show that the proposed RM-PI-DCSK achieves a performance gain of 3 dB over conventional PI-DCSK, especially in high-delay-spread channels.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Filips Capligins, Anna Litvinenko, Deniss Kolosovs, Maris Terauds, Maris Zeltins, Dmitrijs Pikulins
Summary: This paper presents a novel digital chaotic communication system with antipodal chaotic shift keying modulation, implemented in an FPGA. Such systems provide high security on the physical communication level and can be used in wireless sensor network systems. The performance is evaluated using simulation and analysis of the bit error ratio.
Article
Telecommunications
Sujie Liu, Pingping Chen, Guanrong Chen
Summary: The proposed DPI-DCSK modulation scheme offers an efficient alternative for chaos-based wireless communication, outperforming traditional PI-DCSK in terms of transmission energy utilization and performance gain. Theoretical analysis and simulation results demonstrate the performance advantage of DPI-DCSK over PI-DCSK in multipath Rayleigh fading channels and practical ultra-wideband channels.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Cai Xiangming, Xu Weikai, Wang Lin
Summary: This paper provides a detailed survey on the main research progresses in signal design of differential chaotic communications, including design of signal frames, design of orthogonal multilevel signals, design of constellation diagrams and design of multicarrier signals. Additionally, the research works on noise suppression aided performance optimization, index modulation aided performance optimization and chaotic shape forming aided performance optimization for differential chaotic communications are summarized.
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Yunye Li, Yi Fang, Lin Dai, Pingping Chen
Summary: This letter investigates the performance of protograph-coded reference reused differential chaos shift keying (DCSK) systems in order to improve transmission reliability. The traditional receiver for protograph-coded DCSK does not fully utilize the chaotic reference signals, leading to subpar error performance. To address this, a new receiver architecture called weighted reference estimation and iterative decoding (WRE-ID) is proposed, providing universal performance improvement over multipath fading and additive white Gaussian noise channels. The WRE algorithm is introduced to more accurately estimate the reference signal for calculating log-likelihood ratio (LLR), and iterative weight recalculation using extrinsic information from the decoder is employed. Analytical and simulated results demonstrate that the proposed WRE-ID-aided receiver consistently outperforms traditional receivers in reference reused DCSK systems, making it highly promising for high-rate and high-reliability wireless applications.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Chandra S. Pappu, Thomas L. Carroll
Summary: The authors propose a novel signal design for generating wideband quasi-Frequency Modulated (FM) waveforms using chaotic systems, which shows potential applications in joint radar-communication systems. Utilizing a drive-response synchronization scheme, digital information can be encoded and decoded effectively using the same nonlinear system. The proposed signal design closely matches the bit-error rate (BER) of theoretical noncoherent frequency shift keying (FSK) while having good radar imaging capabilities.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Engineering, Electrical & Electronic
Yiwei Tao, Yi Fang, Huan Ma, Shahid Mumtaz, Mohsen Guizani
Summary: A multi-carrier differential chaos shift keying communication system with hybrid index modulation is proposed to boost the transmission efficiency in wireless communication systems. The system utilizes a pair of orthogonal signals to represent active and inactive subcarriers, allowing for the transmission of information bits using all subcarriers. The theoretical analysis and Monte-Carlo simulations verify the superiority of the proposed system.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Xiaoling Wang, Housheng Su, Fan Zhang, Guanrong Chen
Summary: This article investigates the state estimation problem of a continuous-time linear time-invariant system in the presence of unknown external disturbance and measurement noise. A robust distributed interval observer is designed, which consists of a group of sensors communicating through a directed graph. The communication, heterogeneity, and undetectability of the sensors impose stringent requirements on the observer construction. To address these restrictions, an internally positive representation from a single agent system is introduced. Numerical simulations are conducted to validate the theoretical results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Yuqing Hao, Qingyun Wang, Zhisheng Duan, Guanrong Chen
Summary: In this article, the discernibility of topological variations for networked linear time-invariant (LTI) systems is investigated. A necessary and sufficient condition is derived, revealing the impact of topological variations, node-system dynamics, and inner interactions on network discernibility. The condition presented is more general than existing conditions. Furthermore, the discernibility of topological variations for multiagent systems is revisited, and a new necessary and sufficient condition is established with broader applicability.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Yang Lou, Lin Wang, Shengli Xie, Guanrong Chen
Summary: This paper proposes a hybrid approximation method to estimate the controllability robustness performance of large-scale directed random-graph networks under random edge-removal attacks. Two threshold values are set to classify general random-graph networks as 'dense', 'sparse', or 'median', according to the average degree. Simulation results verify that the proposed method can accurately approximate the controllability curves and is more time-efficient compared to conventional attack simulations.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yang Lou, Ruizi Wu, Junli Li, Lin Wang, Chang-Bing Tang, Guanrong Chen
Summary: This study proposes an efficient robustness predictor based on multiple convolutional neural networks (mCNN-RP) for predicting the network connectivity robustness. By classifying and estimating networks, it can accurately predict the connectivity robustness of different complex networks and outperforms existing prediction measures.
Article
Automation & Control Systems
Yong Wang, Zhuo Liu, Leo Yu Zhang, Fabio Pareschi, Gianluca Setti, Guanrong Chen
Summary: This article performs a theoretical study on pseudorandom number generation using the well-studied 2-D coupled map lattice (2D CML). It proposes a method to extract uniformly distributed independent bits from the system orbits and demonstrates its effectiveness through simulation experiments.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Fang Yuan, Shaoyan Li, Yue Deng, Yuxia Li, Guanrong Chen
Summary: In this article, a Cu-doped TiO2-x nanoscale memristor is built and its accurate mathematical model is established. The reliable performance of the memristor and the correctness of its mathematical model are demonstrated through numerical simulations and hardware experiments, revealing its chaotic system dynamics.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Choujun Zhan, Yufan Zheng, Lujiao Shao, Guanrong Chen, Haijun Zhang
Summary: The COVID-19 pandemic, caused by SARS-CoV-2, a high mutation rate virus, is still ongoing due to the emergence of new variants with immune-evading properties. This study presents an epidemiological framework to simulate the mutation process and spread of COVID-19 considering multiple variants. The results suggest that several combined intervention strategies are effective in controlling the pandemic, even with a reduced mutation rate of SARS-CoV-2.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Bing Mao, Xiaoqun Wu, Jinhu Lu, Guanrong Chen
Summary: This article investigates the uniformly predefined-time bounded consensus of leader-following multiagent systems with unknown system nonlinearity and external disturbance. Distributed adaptive fuzzy control is used to analyze and design the system, achieving global consensus within a predefined time.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Jie-Ning Wu, Xiang Li, Guanrong Chen
Summary: This article examines the controllability of multi-input/multi-output linear time-invariant systems in a snapback interlayer coupling framework. It establishes necessary and sufficient conditions for the controllability of three-layer snapback networks and obtains controllability conditions for the superposition of these networks. These conditions are related to smaller scale factor networks and illustrate the impact of interlayer coupling frameworks, intralayer network topologies, node dynamics, inner interactions, and external control inputs on the controllability of snapback networks. The controllability conditions of three-layer snapback networks are also extended to the M-layer setting. Several examples are provided to illustrate the effectiveness of these controllability conditions.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Mathematics
Jiali Wang, Changbing Tang, Jianquan Lu, Guanrong Chen
Summary: In this paper, a decision optimization method based on zero-determinant (ZD) strategies is proposed to help workers in a crowdsourcing system make optimal decisions under incomplete information. The problem is formulated as an iterated game with incomplete information, and the optimal decision of workers in terms of ZD strategies is analyzed. Numerical simulations are conducted to demonstrate the performances of different strategies and the impact of parameters on the payoffs of workers.
Article
Automation & Control Systems
Wenbo Hu, Fei Chen, Linying Xiang, Guanrong Chen
Summary: This article studies coordinated tracking of underactuated and uncertain autonomous surface vehicles (ASVs) via model-reference reinforcement learning control. It is demonstrated that the proposed algorithm has a better performance over baseline control and effectively improves the training efficiency over reinforcement learning.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Zhen Liu, Liangguang Pan, Guanrong Chen
Summary: In this article, a computational model called link-information augmented twin autoencoders is proposed to remove noisy links from observed network and recover the real network. Extensive experiments show that the proposed model outperforms other methods in network denoising and provides interpretable evidence to support its superiority.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Yuqian Zhou, Guanrong Chen, Jibin Li
Summary: By applying the techniques from dynamical systems and singular traveling wave theory developed by Li and Chen [2007] to analyze the traveling wave system of the cubic Camassa-Holm type equation, it has been discovered that the bifurcation portraits of this equation exhibit all possible exact explicit bounded solutions (solitary wave solutions, periodic wave solutions, peakon as well as periodic peakons) under different parameter conditions. A total of 19 explicit exact parametric representations of the traveling wave system of the Camassa-Holm type equation are provided.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2023)
Article
Computer Science, Artificial Intelligence
Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan
Summary: In this paper, robust community detection methods are proposed to improve the performance and robustness of community detection for real-world networks. By enhancing network structure through two generic algorithms, significant performance improvement is achieved for representative community detection algorithms. Additionally, the new methods also optimize the network structure and enhance robustness against adversarial attack.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Mathematics, Applied
Zhensu Wen, Guanrong Chen
Summary: This paper uses the methodology of dynamical systems and singular traveling wave theory to prove the existence of all possible bounded solutions of the traveling wave system in the Hertz chain model under different parameter conditions. Furthermore, it obtains 23 exact explicit parametric representations for various types of traveling wave systems.
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S
(2023)
