Parameter Estimation of RAKE Receiver Using the EM Algoritm

碩士 === 國立海洋大學 === 航運技術研究所 === 87 === We employ the RAKE receiver with EM (expectation-maximization) algorithm to solve the problems of multipath propagation and fading. The key issue is to decompose the observed data into their channel components, then to estimate the unknown parameters o...

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Main Authors: Chia-Wei Pai, 白嘉煒
Other Authors: Jung-Jae Chao
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/30804610925140418226
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spelling ndltd-TW-087NTOU03000112016-02-01T04:12:22Z http://ndltd.ncl.edu.tw/handle/30804610925140418226 Parameter Estimation of RAKE Receiver Using the EM Algoritm EM法則應用於RAKE接收機之參數估測 Chia-Wei Pai 白嘉煒 碩士 國立海洋大學 航運技術研究所 87 We employ the RAKE receiver with EM (expectation-maximization) algorithm to solve the problems of multipath propagation and fading. The key issue is to decompose the observed data into their channel components, then to estimate the unknown parameters of each channel separately. Using the maximal ratio combiner, the estimated parameters are applied to the RAKE receiver to improve the performance. EM algorithm produces maximum-likelihood estimates of parameters when there is a many-to-one mapping from an underlying distribution to the distribution governing the observed data. With the property of convergence, the algorithm is iterated with increasing likelihood. As a result, the proposed RAKE receiver has a better performance than the traditional one in terms of BER. Jung-Jae Chao 趙俊傑 1999 學位論文 ; thesis 40 zh-TW
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language zh-TW
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description 碩士 === 國立海洋大學 === 航運技術研究所 === 87 === We employ the RAKE receiver with EM (expectation-maximization) algorithm to solve the problems of multipath propagation and fading. The key issue is to decompose the observed data into their channel components, then to estimate the unknown parameters of each channel separately. Using the maximal ratio combiner, the estimated parameters are applied to the RAKE receiver to improve the performance. EM algorithm produces maximum-likelihood estimates of parameters when there is a many-to-one mapping from an underlying distribution to the distribution governing the observed data. With the property of convergence, the algorithm is iterated with increasing likelihood. As a result, the proposed RAKE receiver has a better performance than the traditional one in terms of BER.
author2 Jung-Jae Chao
author_facet Jung-Jae Chao
Chia-Wei Pai
白嘉煒
author Chia-Wei Pai
白嘉煒
spellingShingle Chia-Wei Pai
白嘉煒
Parameter Estimation of RAKE Receiver Using the EM Algoritm
author_sort Chia-Wei Pai
title Parameter Estimation of RAKE Receiver Using the EM Algoritm
title_short Parameter Estimation of RAKE Receiver Using the EM Algoritm
title_full Parameter Estimation of RAKE Receiver Using the EM Algoritm
title_fullStr Parameter Estimation of RAKE Receiver Using the EM Algoritm
title_full_unstemmed Parameter Estimation of RAKE Receiver Using the EM Algoritm
title_sort parameter estimation of rake receiver using the em algoritm
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/30804610925140418226
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