Institutional Repository of Coll Comp & Commun
Step-by-step classification detection algorithm of SPPM based on K-means clustering | |
Wang, Huiqin; Hou, Wenbin; Peng, Qingbin; Cao, Minghua; Huang, Rui; Liu, Ling | |
2022-01-25 | |
发表期刊 | Tongxin Xuebao/Journal on Communications |
ISSN | 1000-436X |
卷号 | 43期号:1页码:161-171 |
摘要 | In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation. The signal vector detection algorithm was utilized to detect the index of light source in the training samples. The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training. Subsequently, online detec-tion of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search. In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance. Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity. Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources. © 2022, Editorial Board of Journal on Communications. All right reserved. |
关键词 | Bit error rate K-means clustering Mapping Maximum likelihood Monte Carlo methods Optical communication Optical signal processing Pulse position modulation Signal detection Bit-error rate Detection algorithm Error rate performance K-means++ clustering Mapping rules Modulation systems Pulse-position modulation Spatial pulse position modulation Step-by-step classi-fication detection Wireless optical communication |
DOI | 10.11959/j.issn.1000-436x.2022010 |
收录类别 | EI |
语种 | 中文 |
出版者 | Editorial Board of Journal on Communications |
EI入藏号 | 20220711630791 |
EI主题词 | Light sources |
EI分类号 | 405.3 Surveying ; 716.1 Information Theory and Signal Processing ; 717.1 Optical Communication Systems ; 723.1 Computer Programming ; 903.1 Information Sources and Analysis ; 922.1 Probability Theory ; 922.2 Mathematical Statistics |
引用统计 | 无
|
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/157969 |
专题 | 计算机与通信学院 电气工程与信息工程学院 |
作者单位 | School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China |
第一作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Wang, Huiqin,Hou, Wenbin,Peng, Qingbin,et al. Step-by-step classification detection algorithm of SPPM based on K-means clustering[J]. Tongxin Xuebao/Journal on Communications,2022,43(1):161-171. |
APA | Wang, Huiqin,Hou, Wenbin,Peng, Qingbin,Cao, Minghua,Huang, Rui,&Liu, Ling.(2022).Step-by-step classification detection algorithm of SPPM based on K-means clustering.Tongxin Xuebao/Journal on Communications,43(1),161-171. |
MLA | Wang, Huiqin,et al."Step-by-step classification detection algorithm of SPPM based on K-means clustering".Tongxin Xuebao/Journal on Communications 43.1(2022):161-171. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论