{"title":"A high-reliability dual-mode M-ary differential chaos shift keying system with index modulation","authors":"Gang Zhang , Yongqi Guo , Xinyu Xiong","doi":"10.1016/j.dsp.2025.105388","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"166 ","pages":"Article 105388"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051200425004105","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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.
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,