Intelligent Index Recognition for OFDM With Index Modulation in Underwater OWC Systems

被引：6

作者：

Zhang, Xinyue ^{[1
]}

Zeng, Zhihong ^{[1
]}

Du, Pengfei ^{[2
]}

Lin, Bangjiang ^{[3
]}

Chen, Chen ^{[1
]}

机构：

[1] Chongqing Univ, Sch Microelect & Commun Engn, Chongqing 400044, Peoples R China

[2] ASTAR, Singapore Inst Mfg Technol SIMTech, Singapore 138634, Singapore

[3] Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Haixi Inst, Quanzhou 362216, Fujian, Peoples R China

来源：

IEEE PHOTONICS TECHNOLOGY LETTERS | 2024年 / 36卷 / 20期

基金：

中国国家自然科学基金;

关键词：

Indexes; Histograms; OFDM; Symbols; Frequency-domain analysis; Accuracy; Support vector machines; Orthogonal frequency division multiplexing with index modulation (OFDM-IM); index recognition; underwater optical wireless communication (UOWC);

D O I：

10.1109/LPT.2024.3458444

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Orthogonal frequency division multiplexing with index modulation (OFDM-IM) is a promising scheme for underwater optical wireless communication (UOWC) due to its high power efficiency and flexibility. In this letter, we propose and experimentally demonstrate an intelligent index recognition scheme for OFDM-IM in UOWC systems. Considering the unique activation patterns of OFDM-IM with different numbers of activated subcarriers within each subblock, the signal histograms in the frequency domain are adopted as the features for recognition. Moreover, various machine learning or deep learning algorithms are further utilized as the tools to perform intelligent index recognition based on the distinctive frequency-domain histograms. Experimental results demonstrate the feasibility of the proposed intelligent index recognition scheme for OFDM-IM in UOWC systems. In addition, the impact of the number of bins and the number of symbols on the performance of index recognition is also studied.

引用

页码：1249 / 1252

页数：4

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