Robust Beamforming with Cyclostationary Signals
碩士 === 國立臺灣大學 === 電機工程學系 === 85 === Strongly influenced by the advantage of automatically resolving the desired signal while cancelling interference signals and noise,adaptive array beamforming has received much attention in seve...
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ndltd-TW-085NTU004420622016-07-01T04:15:38Z http://ndltd.ncl.edu.tw/handle/50772333313285510621 Robust Beamforming with Cyclostationary Signals 使用週期性穩態信號的強健式波束成型技術 Liu, Jia-Chun 劉佳旬 碩士 國立臺灣大學 電機工程學系 85 Strongly influenced by the advantage of automatically resolving the desired signal while cancelling interference signals and noise,adaptive array beamforming has received much attention in several application areas.Recently using cyclostationary signals in adaptive array beamforming has been a new field.In mobile communication systems,we use that technique to increase capacity without increasing bandwidth.The SCORE algorithm is an important one of those.Thus it can resolve the adaptive weights by only knowing the cyclic frequency of desired signal that the SCORE is a blind beamformer.But it has much more computation than the traditional beamformer does.In order to reduce the computation ,we use the subarray technique in SCORE algorithm.This method can also increase the convergence speed of the adaptive weights. If the cyclic frequency of the desired signal is error,the performance of SCORE algorithm will drop violently.We present a novel and efficient method to resolve this problem.First,we use the FFT method to estimate the cyclic frequency of the desired signal,then use the estimated frequency in SCORE algorithm. In order to resolve the blind angles of the 1-D SCORE,we develope the 2-D SCORE algorithm.We also use the subarray and FFT method to reduce computation and to resolve the error cyclic frequency problem in the 2-D SCORE algorithm respectively. Ju-Hong Lee 李枝宏 1997 學位論文 ; thesis 104 zh-TW |
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碩士 === 國立臺灣大學 === 電機工程學系 === 85 === Strongly influenced by the advantage of automatically
resolving the desired signal while cancelling interference
signals and noise,adaptive array beamforming has
received much attention in several application areas.Recently
using cyclostationary signals in adaptive array beamforming has
been a new field.In mobile communication systems,we use that
technique to increase capacity without increasing
bandwidth.The SCORE algorithm is an important one of those.Thus
it can resolve the adaptive weights by only knowing the cyclic
frequency of desired signal that the SCORE is a blind
beamformer.But it has much more computation than the
traditional beamformer does.In order to reduce the computation
,we use the subarray technique in SCORE algorithm.This method
can also increase the convergence speed of the adaptive weights.
If the cyclic frequency of the desired signal is error,the
performance of SCORE algorithm will drop violently.We
present a novel and efficient method to resolve this
problem.First,we use the FFT method to estimate the cyclic
frequency of the desired signal,then use the estimated frequency
in SCORE algorithm. In order to resolve the blind angles of
the 1-D SCORE,we develope the 2-D SCORE algorithm.We also use
the subarray and FFT method to reduce computation and to
resolve the error cyclic frequency problem in the 2-D SCORE
algorithm respectively.
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author2 |
Ju-Hong Lee |
author_facet |
Ju-Hong Lee Liu, Jia-Chun 劉佳旬 |
author |
Liu, Jia-Chun 劉佳旬 |
spellingShingle |
Liu, Jia-Chun 劉佳旬 Robust Beamforming with Cyclostationary Signals |
author_sort |
Liu, Jia-Chun |
title |
Robust Beamforming with Cyclostationary Signals |
title_short |
Robust Beamforming with Cyclostationary Signals |
title_full |
Robust Beamforming with Cyclostationary Signals |
title_fullStr |
Robust Beamforming with Cyclostationary Signals |
title_full_unstemmed |
Robust Beamforming with Cyclostationary Signals |
title_sort |
robust beamforming with cyclostationary signals |
publishDate |
1997 |
url |
http://ndltd.ncl.edu.tw/handle/50772333313285510621 |
work_keys_str_mv |
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