博碩士論文 102523046 完整後設資料紀錄

DC 欄位 語言
DC.contributor通訊工程學系zh_TW
DC.creator余奇紘zh_TW
DC.creatorYU,CI-HONGen_US
dc.date.accessioned2015-7-13T07:39:07Z
dc.date.available2015-7-13T07:39:07Z
dc.date.issued2015
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=102523046
dc.contributor.department通訊工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在本篇論文中,我們先介紹CMA+DD﹐CMA+MAP﹐CMA+SC-MAP﹐CMA+RSC-MAP等並行濾波器的演算法﹐並在不同的情境下比較以上四個演算法可以得知,在BER系統效能的觀點 CMA+RSC-MAP演算法和CMA+SC-MAP演算法相較於其他的演算法是最佳的,以系統複雜度的觀點可以得知CMA+DD為最佳CMA+RSC-MAP次之,CMA+SC-MAP則最差。由此可知CMA+RSC-MAP具有最佳的BER效能還擁有與CMA+DD相近的系統複雜度,而本篇論文所提出的降低天線演算法(Reduce Antenna Algorithm)加入各個演算法中不但不會影響BER系統效能且有效的降低系統複雜度,也解決了並濾波器高複雜度的問題。zh_TW
dc.description.abstractIn this paper﹐we introduce four concurrent adaptive filter (CAF) as CMA+DD algorithm﹐CMA+MAP algorithm﹐CMA+RSC-MAP algorithm﹐and compare their performance of bit error rate (BER) in different scenario﹐we found that CMA+RSC-MAP algorithm and CMA+SC-MAP algorithm has the best performance of bit error rate﹐but in system complexity CMA+DD algorithm is the best ﹐CMA+RSC-MAP algorithm is second ﹐CMA+SC-MAP algorithm is the worst。 So we can know CMA+RSC-MAP has the best performance of bit error rate and it system complexity is very close with CMA+DD。 The reduce antenna algorithm ﹐we propose in this paper﹐it can reduce each concurrent adaptive system complexity effectively﹐ and does not affect their performance of bit error rate﹐therefore reduce antenna algorithm resolve the problem of high complexity for concurrent adaptive filter。 en_US
DC.subject多使用者波束成型器zh_TW
DC.subject盲目並行濾波器zh_TW
DC.subjectbeamforming systemen_US
DC.subjectblind-CAFen_US
DC.title應用於多使用者波束成型器系統的盲目並行濾波器之低複雜度演算法zh_TW
dc.language.isozh-TWzh-TW
DC.titleReduce Antenna Algorithm for blind-CAF in multi-user beamforming systemen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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