Lamiaa A. Abd-Elgawad, Ibrahim M. Eldokany, El-Sayed M. El-Rabaie, Yara Abd-Elazim, G. Elabyad, M. Dessouky, Gamal A. Hussein, A. Shalaby, F. A. Abd El-Samie
{"title":"无线光通信系统自适应信道估计的性能分析","authors":"Lamiaa A. Abd-Elgawad, Ibrahim M. Eldokany, El-Sayed M. El-Rabaie, Yara Abd-Elazim, G. Elabyad, M. Dessouky, Gamal A. Hussein, A. Shalaby, F. A. Abd El-Samie","doi":"10.1109/ICEEM52022.2021.9480626","DOIUrl":null,"url":null,"abstract":"Maintaining the efficiency of Optical Wireless Communication (OWC) systems with channel equalization is a curial problem. In this paper, different adaptive channel estimation algorithms are studied to allow optical wireless channel equalization. The adaptive channel estimation algorithms considered are standard Least Mean Square (LMS) and LMS with Activity Detection Guidance (ADG) and Tap Decoupling (TD). Random inputs are used in the channel estimation process. These inputs are of white and color natures. Simulation results prove that the LMS algorithm with ADG is fair enough for the channel estimation problem for white inputs. On the other hand, for colored inputs, the TD is required for correct estimation of channel taps.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of Adaptive Channel Estimation for Wireless Optical Communication Systems\",\"authors\":\"Lamiaa A. Abd-Elgawad, Ibrahim M. Eldokany, El-Sayed M. El-Rabaie, Yara Abd-Elazim, G. Elabyad, M. Dessouky, Gamal A. Hussein, A. Shalaby, F. A. Abd El-Samie\",\"doi\":\"10.1109/ICEEM52022.2021.9480626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Maintaining the efficiency of Optical Wireless Communication (OWC) systems with channel equalization is a curial problem. In this paper, different adaptive channel estimation algorithms are studied to allow optical wireless channel equalization. The adaptive channel estimation algorithms considered are standard Least Mean Square (LMS) and LMS with Activity Detection Guidance (ADG) and Tap Decoupling (TD). Random inputs are used in the channel estimation process. These inputs are of white and color natures. Simulation results prove that the LMS algorithm with ADG is fair enough for the channel estimation problem for white inputs. On the other hand, for colored inputs, the TD is required for correct estimation of channel taps.\",\"PeriodicalId\":352371,\"journal\":{\"name\":\"2021 International Conference on Electronic Engineering (ICEEM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Electronic Engineering (ICEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEM52022.2021.9480626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Electronic Engineering (ICEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEM52022.2021.9480626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Analysis of Adaptive Channel Estimation for Wireless Optical Communication Systems
Maintaining the efficiency of Optical Wireless Communication (OWC) systems with channel equalization is a curial problem. In this paper, different adaptive channel estimation algorithms are studied to allow optical wireless channel equalization. The adaptive channel estimation algorithms considered are standard Least Mean Square (LMS) and LMS with Activity Detection Guidance (ADG) and Tap Decoupling (TD). Random inputs are used in the channel estimation process. These inputs are of white and color natures. Simulation results prove that the LMS algorithm with ADG is fair enough for the channel estimation problem for white inputs. On the other hand, for colored inputs, the TD is required for correct estimation of channel taps.