A high-reliability dual-mode M-ary differential chaos shift keying system with index modulation

IF 2.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Gang Zhang , Yongqi Guo , Xinyu Xiong
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引用次数: 0

Abstract

This paper introduces a novel high-efficiency dual-mode multi-carrier differential chaos shift keying (HRDM-MDCSK-IM) system that integrates index modulation and noise suppression techniques. The system utilizes distinct modulation schemes for active and inactive time slots on each subcarrier and encodes them using reference selection indexing and combined Walsh code indexing, thereby enhancing the system's efficiency. At the receiver's end, the system employs the sliding average of reference signals to reduce noise and performs secondary noise reduction on information signals during active time slots to recover information bits. This approach optimizes the bit error rate (BER) performance and improves the overall system performance. Simulation results demonstrate that the HRDM-MDCSK-IM system significantly outperforms existing benchmark systems in terms of data rates and spectral efficiency. The paper also derives the theoretical expressions for the BER of the system under both additive white Gaussian noise (AWGN) and multipath Rayleigh fading channels, and verifies their accuracy through simulation. The theoretical analysis, coupled with simulation results, confirms the superior performance of the HRDM-MDCSK-IM system and highlights its potential for practical applications in high-efficiency wireless communication systems.
一种具有指数调制的高可靠性双模微分混沌移位键控系统
介绍了一种集成了指数调制和噪声抑制技术的新型高效双模多载波差分混沌移位键控系统(HRDM-MDCSK-IM)。该系统对每个子载波上的有源时隙和无源时隙采用不同的调制方案,并采用参考选择索引和组合沃尔什码索引进行编码,从而提高了系统的效率。在接收端,系统采用参考信号滑动平均降噪,并在活动时隙对信息信号进行二次降噪,恢复信息位。该方法优化了误码率性能,提高了系统的整体性能。仿真结果表明,HRDM-MDCSK-IM系统在数据速率和频谱效率方面明显优于现有的基准系统。导出了系统在加性高斯白噪声和多径瑞利衰落信道下的误码率的理论表达式,并通过仿真验证了其准确性。理论分析和仿真结果证实了HRDM-MDCSK-IM系统的优越性能,并强调了其在高效无线通信系统中的实际应用潜力。
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来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
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