Blind Identification of Multipath Channel with Known Pulse Shaping
碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === In many digital and mobile communication systems, channel identification and equalization play an important role in determining the system performance, and a lot of blind channel identification methods are proposed in...
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ndltd-TW-086YZU003920192015-10-13T17:34:50Z http://ndltd.ncl.edu.tw/handle/77254646228220151647 Blind Identification of Multipath Channel with Known Pulse Shaping 在已知脈波波形資訊下之多路徑通道盲蔽性鑑定法 Chun-Kuei Peng 彭俊魁 碩士 元智大學 電資與資訊工程研究所 86 In many digital and mobile communication systems, channel identification and equalization play an important role in determining the system performance, and a lot of blind channel identification methods are proposed in recent years. But most of the blind channel identification methods are designed to identify a composite channel which is composed of pulse shaping filter and multipath channel parameters, i.e., attenuation factors and path delays. All of them are limited to a common channel identifiability problem when there exists common roots among subchannels. In this thesis, we extract the known pulse-shaping filter from a composite channel, and exploit the filter bank representation of the fractionally-spaced structure to estimate the parameters of attenuation factor and path delay. It can be accomplished by the nonlinear least squares estimated method. We find that some previous unidentifiable channel can be identified with our method. Furthermore, the performance is much better than some existing methods. Jeng-Kuang Hwang 黃正光 學位論文 ; thesis 83 zh-TW |
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碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === In many digital and mobile communication systems, channel
identification and equalization play an important role in
determining the system performance, and a lot of blind channel
identification methods are proposed in recent years. But most of
the blind channel identification methods are designed to
identify a composite channel which is composed of pulse shaping
filter and multipath channel parameters, i.e., attenuation
factors and path delays. All of them are limited to a common
channel identifiability problem when there exists common roots
among subchannels.
In this thesis, we extract the known pulse-shaping filter
from a composite channel, and exploit the filter bank
representation of the fractionally-spaced structure to estimate
the parameters of attenuation factor and path delay. It can be
accomplished by the nonlinear least squares estimated method.
We find that some previous unidentifiable channel can be
identified with our method. Furthermore, the performance is much
better than some existing methods.
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author2 |
Jeng-Kuang Hwang |
author_facet |
Jeng-Kuang Hwang Chun-Kuei Peng 彭俊魁 |
author |
Chun-Kuei Peng 彭俊魁 |
spellingShingle |
Chun-Kuei Peng 彭俊魁 Blind Identification of Multipath Channel with Known Pulse Shaping |
author_sort |
Chun-Kuei Peng |
title |
Blind Identification of Multipath Channel with Known Pulse Shaping |
title_short |
Blind Identification of Multipath Channel with Known Pulse Shaping |
title_full |
Blind Identification of Multipath Channel with Known Pulse Shaping |
title_fullStr |
Blind Identification of Multipath Channel with Known Pulse Shaping |
title_full_unstemmed |
Blind Identification of Multipath Channel with Known Pulse Shaping |
title_sort |
blind identification of multipath channel with known pulse shaping |
url |
http://ndltd.ncl.edu.tw/handle/77254646228220151647 |
work_keys_str_mv |
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1717781704503984128 |