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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Main Authors: Chun-Kuei Peng, 彭俊魁
Other Authors: Jeng-Kuang Hwang
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/77254646228220151647
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spelling 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
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 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.
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
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