{"title":"基于LMS算法的多径自适应干扰消除技术","authors":"Junjie Wanga, Yunhao Jiang","doi":"10.1109/ICPECA51329.2021.9362535","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of signal multipath propagationa, a multi-path adaptive interference cancellation model using LMS algorithm is given. The formula is calculated first, the theory of cancellation of multipath interference signals is analyzed. The system does not need the information of the input signal at the previous moment, and continuously updates the weights through an iterative algorithm, making the cancellation performance superior in a time-varying environment. Simulation results show that the cancellation ability of the system to multipath interference signals is not very significant. Through analysis, it is found that phase difference angle between two signals leads to the degradation of multipath propagation interference signal cancellation performance. so, urgent need to find a method of compensating the phase difference angle to deal with the cancellation performance of the multipath propagation interference signal.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-path Adaptive Interference Cancellation Technology Based on LMS Algorithm\",\"authors\":\"Junjie Wanga, Yunhao Jiang\",\"doi\":\"10.1109/ICPECA51329.2021.9362535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of signal multipath propagationa, a multi-path adaptive interference cancellation model using LMS algorithm is given. The formula is calculated first, the theory of cancellation of multipath interference signals is analyzed. The system does not need the information of the input signal at the previous moment, and continuously updates the weights through an iterative algorithm, making the cancellation performance superior in a time-varying environment. Simulation results show that the cancellation ability of the system to multipath interference signals is not very significant. Through analysis, it is found that phase difference angle between two signals leads to the degradation of multipath propagation interference signal cancellation performance. so, urgent need to find a method of compensating the phase difference angle to deal with the cancellation performance of the multipath propagation interference signal.\",\"PeriodicalId\":119798,\"journal\":{\"name\":\"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA51329.2021.9362535\",\"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 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA51329.2021.9362535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-path Adaptive Interference Cancellation Technology Based on LMS Algorithm
In order to solve the problem of signal multipath propagationa, a multi-path adaptive interference cancellation model using LMS algorithm is given. The formula is calculated first, the theory of cancellation of multipath interference signals is analyzed. The system does not need the information of the input signal at the previous moment, and continuously updates the weights through an iterative algorithm, making the cancellation performance superior in a time-varying environment. Simulation results show that the cancellation ability of the system to multipath interference signals is not very significant. Through analysis, it is found that phase difference angle between two signals leads to the degradation of multipath propagation interference signal cancellation performance. so, urgent need to find a method of compensating the phase difference angle to deal with the cancellation performance of the multipath propagation interference signal.