Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts
碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 102 === The thesis studies the random access detection schemes in LTE-A system. In random access detection procedure, the base station needs to determine whether random access preambles are transmitted by the users. In this thesis, we first develop transmission sys...
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ndltd-TW-102NCTU54280742016-07-02T04:20:30Z http://ndltd.ncl.edu.tw/handle/63390893971598600102 Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts LTE隨機存取訊號於可能具有宏大都卜勒位移之多徑通道中之檢測 梁晉源 碩士 國立交通大學 電子工程學系 電子研究所 102 The thesis studies the random access detection schemes in LTE-A system. In random access detection procedure, the base station needs to determine whether random access preambles are transmitted by the users. In this thesis, we first develop transmission system model, in which we consider the symbol timing offset (STO), carrier frequency offset (CFO), and multipath channels. Then we formulate the problem by the multiple hypothesis and binary hypothesis testing. Due to high computational complexity for implementation of multiple hypothesis testing, we focus on the binary hypothesis testing formulation. We use the generalized likelihood testing technique (GLRT) as a detection criterion to solve the problem, in which we need to get the maximum likelihood estimate (MLE) of the STO, CFO, and channel. In the derivation, we also propose an approximation of the GLRT to further reduce the computational complexity. In the simulation we verify our proposed GLRT detector performance with difference values of CFO and different kind of channel model including AWGN and Standford University Interim (SUI). Lin, David W. 林大衛 2013 學位論文 ; thesis 84 zh-TW |
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碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 102 === The thesis studies the random access detection schemes in LTE-A system. In
random access detection procedure, the base station needs to determine whether random
access preambles are transmitted by the users.
In this thesis, we first develop transmission system model, in which we consider
the symbol timing offset (STO), carrier frequency offset (CFO), and multipath channels.
Then we formulate the problem by the multiple hypothesis and binary hypothesis
testing. Due to high computational complexity for implementation of multiple
hypothesis testing, we focus on the binary hypothesis testing formulation. We use the
generalized likelihood testing technique (GLRT) as a detection criterion to solve the
problem, in which we need to get the maximum likelihood estimate (MLE) of the STO,
CFO, and channel. In the derivation, we also propose an approximation of the GLRT to
further reduce the computational complexity.
In the simulation we verify our proposed GLRT detector performance with
difference values of CFO and different kind of channel model including AWGN and
Standford University Interim (SUI).
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Lin, David W. |
author_facet |
Lin, David W. 梁晉源 |
author |
梁晉源 |
spellingShingle |
梁晉源 Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts |
author_sort |
梁晉源 |
title |
Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts |
title_short |
Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts |
title_full |
Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts |
title_fullStr |
Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts |
title_full_unstemmed |
Detection of LTE Random Access Signals in Multipath Channels with Possibly Large Doppler Shifts |
title_sort |
detection of lte random access signals in multipath channels with possibly large doppler shifts |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/63390893971598600102 |
work_keys_str_mv |
AT liángjìnyuán detectionoflterandomaccesssignalsinmultipathchannelswithpossiblylargedopplershifts AT liángjìnyuán ltesuíjīcúnqǔxùnhàoyúkěnéngjùyǒuhóngdàdōubolēiwèiyízhīduōjìngtōngdàozhōngzhījiǎncè |
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1718331830161113088 |