Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 邱昶溢 | en_US |
dc.contributor.author | Chiou, Chang-Yi | en_US |
dc.contributor.author | 吳卓諭 | en_US |
dc.contributor.author | Wu, Jwo-Yuh | en_US |
dc.date.accessioned | 2014-12-12T01:55:56Z | - |
dc.date.available | 2014-12-12T01:55:56Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT079913533 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/49312 | - |
dc.description.abstract | 在近年來,單載波頻域等化系統在無線通訊研究上被廣泛的探討,使其可作為正交分頻多工系統的替代系統,而對於單載波頻域等化系統的符元判斷效能,則取決於通道估測,傳統上,單載波頻域等化系統其通道估測技術是根據最小平方法的原理,然而,當通道具有稀疏特性存在時,使用此方法將無法根據通道稀疏特性來有效估測通道,在本論文中,我們提出將壓縮感測技術應用於單載波頻域等化系統的通道估測上,在此部分內容關於通道估測的系統矩陣,其為循環矩陣,首先,我們推導出了隨機循環矩陣其滿足限制等距性質的機率,此結果將比目前存在的其它結果更為準確,最後,我們使用壓縮感測技術中的Dantizg selector方法來估測稀疏通道,並利用互次不相關性質對系統矩陣做分析,提出了一組關於最佳訓練序列的形式,使壓縮感測技術在復原稀疏資料上更有效率,並以模擬驗證之。 | zh_TW |
dc.description.abstract | In recent years, single carrier frequency domain equalization (SC-FDE) has been widely considered in the research of wireless communications as an alternative to the orthogonal frequency division multiplexing. The symbol decision performance of SC-FDE relies on accurate channel estimation. Traditional channel estimation techniques for SC-FDE are based on the least-squares (LS) principle, which however does not take account of the sparse nature of wireless channels. In this thesis, we study compressive-sensing (CS) based sparse channel estimation for SC-FDE, in which the training system is described by a circulant matrix. We first characterize the probability that a random circulant matrix can satisfy the restricted isometry property (RIP). The result is seen to be tighter than existing solutions. By using the Dantizg selector for signal recovery, we propose a new optimal training pattern via minimization of the mutual incoherence (MI). Simulation results are used to illustrate the performance of the proposed scheme. | en_US |
dc.language.iso | zh_TW | en_US |
dc.subject | 壓縮感測技術 | zh_TW |
dc.subject | 單載波頻域等化 | zh_TW |
dc.subject | 最小平方法 | zh_TW |
dc.subject | 正交分頻多工 | zh_TW |
dc.subject | Compressive Sensing | en_US |
dc.subject | SC-FDE | en_US |
dc.subject | LS | en_US |
dc.subject | OFDM | en_US |
dc.title | 壓縮感測技術應用在循環字首之單載波通訊的稀疏通道估測 | zh_TW |
dc.title | Compressive Sensing Based Sparse Channel Estimation for Cyclic Prefixed Single Carrier Communication | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 電信工程研究所 | zh_TW |
Appears in Collections: | Thesis |
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