Research in LTE Uplink Channel Estimation Techniques

碩士 === 國立交通大學 === 電子研究所 === 100 === Wireless Communication will play an important role in the evolution of communication in the future, especially basing on WiMAX (IEEE) and LTE (3GPP) to develop individually. Although the two systems are very similar, the biggest difference of them is that LTE usin...

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Main Authors: Yu, Juo-Han, 余卓翰
Other Authors: Lin, David W
Format: Others
Language:en_US
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/03886856729751496047
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spelling ndltd-TW-100NCTU54280932015-10-13T20:37:28Z http://ndltd.ncl.edu.tw/handle/03886856729751496047 Research in LTE Uplink Channel Estimation Techniques LTE上行通道估測技術之研究 Yu, Juo-Han 余卓翰 碩士 國立交通大學 電子研究所 100 Wireless Communication will play an important role in the evolution of communication in the future, especially basing on WiMAX (IEEE) and LTE (3GPP) to develop individually. Although the two systems are very similar, the biggest difference of them is that LTE using SC-FDMA (single carrier frequency division multiple access) technique in uplink transmission. The advantage of LTE is to decrease peak-to-average power ratio (PAPR) which saves more power of the batteries of user equipments (UEs) and efficiently extends the using time, rather than using OFDMA (orthogonal frequency division multiple access) which is adopted by WiMAX. This thesis will introduce the subjects of channel estimation problems, algorithms, analysis of multi-path transmission in SC-FDMA. In channel estimation, first we use least square estimator, then use two different methods to estimate the channel response and compare the performance between them. The first method is polynomial interpolation. We use polynomial interpolation to interpolate the channel response of data carrier form reference signal channel response which estimates by least square estimator. The second method is using MMSE estimator. The same as method one, we get the channel response which estimates by least square estimator form reference signal, more than that we calculate the correlation between reference signals. By using the result, we use polynomial interpolation to interpolate the channel correlation of data carriers and reference signal carriers, then we substitute them into MMSE estimator to get the weighting of reference signal carriers to let channel response what we try to estimate be more accurate. In simulation, we test and verify the simulate model which we proposed, in AWGN. Then we simulate in multi-path channel. First we find that MMSE estimator has better performance than polynomial interpolation in SER and MSE; second we iv observe that if RS sequence use zadoff-chu sequence compare to the sequence which we supposed, the performance of channel response MSE is worse, but the performance of SER is better. Lin, David W 林大衛 2011 學位論文 ; thesis 139 en_US
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description 碩士 === 國立交通大學 === 電子研究所 === 100 === Wireless Communication will play an important role in the evolution of communication in the future, especially basing on WiMAX (IEEE) and LTE (3GPP) to develop individually. Although the two systems are very similar, the biggest difference of them is that LTE using SC-FDMA (single carrier frequency division multiple access) technique in uplink transmission. The advantage of LTE is to decrease peak-to-average power ratio (PAPR) which saves more power of the batteries of user equipments (UEs) and efficiently extends the using time, rather than using OFDMA (orthogonal frequency division multiple access) which is adopted by WiMAX. This thesis will introduce the subjects of channel estimation problems, algorithms, analysis of multi-path transmission in SC-FDMA. In channel estimation, first we use least square estimator, then use two different methods to estimate the channel response and compare the performance between them. The first method is polynomial interpolation. We use polynomial interpolation to interpolate the channel response of data carrier form reference signal channel response which estimates by least square estimator. The second method is using MMSE estimator. The same as method one, we get the channel response which estimates by least square estimator form reference signal, more than that we calculate the correlation between reference signals. By using the result, we use polynomial interpolation to interpolate the channel correlation of data carriers and reference signal carriers, then we substitute them into MMSE estimator to get the weighting of reference signal carriers to let channel response what we try to estimate be more accurate. In simulation, we test and verify the simulate model which we proposed, in AWGN. Then we simulate in multi-path channel. First we find that MMSE estimator has better performance than polynomial interpolation in SER and MSE; second we iv observe that if RS sequence use zadoff-chu sequence compare to the sequence which we supposed, the performance of channel response MSE is worse, but the performance of SER is better.
author2 Lin, David W
author_facet Lin, David W
Yu, Juo-Han
余卓翰
author Yu, Juo-Han
余卓翰
spellingShingle Yu, Juo-Han
余卓翰
Research in LTE Uplink Channel Estimation Techniques
author_sort Yu, Juo-Han
title Research in LTE Uplink Channel Estimation Techniques
title_short Research in LTE Uplink Channel Estimation Techniques
title_full Research in LTE Uplink Channel Estimation Techniques
title_fullStr Research in LTE Uplink Channel Estimation Techniques
title_full_unstemmed Research in LTE Uplink Channel Estimation Techniques
title_sort research in lte uplink channel estimation techniques
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/03886856729751496047
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