{"title":"脉冲噪声下的天线阵列信道估计","authors":"Sananda Kumar","doi":"10.1109/AESPC44649.2018.9033186","DOIUrl":null,"url":null,"abstract":"The paper deals with the channel estimation using Uniform Linear Array (ULA) antenna. The antennae are treated as individual nodes capable of collecting information and sharing them to the centralized processor for further processing. The environment is assumed to have impulsive noise where the traditional least square methods fail to perform. The paper implements M-type estimator (modified Huber algorithm) to improvise the estimation performance. To demonstrate efficacy of the algorithm, it is implemented with different impulsive noise presence in simulation and compared with traditional method and found to perform better. Moreover the mean stability condition of the algorithm is calculated.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Channel Estimation using Antenna Array in Presence of Impulsive Noise\",\"authors\":\"Sananda Kumar\",\"doi\":\"10.1109/AESPC44649.2018.9033186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with the channel estimation using Uniform Linear Array (ULA) antenna. The antennae are treated as individual nodes capable of collecting information and sharing them to the centralized processor for further processing. The environment is assumed to have impulsive noise where the traditional least square methods fail to perform. The paper implements M-type estimator (modified Huber algorithm) to improvise the estimation performance. To demonstrate efficacy of the algorithm, it is implemented with different impulsive noise presence in simulation and compared with traditional method and found to perform better. Moreover the mean stability condition of the algorithm is calculated.\",\"PeriodicalId\":222759,\"journal\":{\"name\":\"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AESPC44649.2018.9033186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AESPC44649.2018.9033186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Channel Estimation using Antenna Array in Presence of Impulsive Noise
The paper deals with the channel estimation using Uniform Linear Array (ULA) antenna. The antennae are treated as individual nodes capable of collecting information and sharing them to the centralized processor for further processing. The environment is assumed to have impulsive noise where the traditional least square methods fail to perform. The paper implements M-type estimator (modified Huber algorithm) to improvise the estimation performance. To demonstrate efficacy of the algorithm, it is implemented with different impulsive noise presence in simulation and compared with traditional method and found to perform better. Moreover the mean stability condition of the algorithm is calculated.