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題名 | Estimation of Composite Spatial Signatures for DS/CDMA Multipath Signals Using Space-time Processing=應用空時信號處理方法估計多重路徑分碼多工信號之空間特徵波形 |
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作者姓名(中文) | 武維疆; 洪輝鋒; 鄭易文; | 書刊名 | 大葉學報 |
卷期 | 13:1 2004.06[民93.06] |
頁次 | 頁89-94 |
分類號 | 448.8 |
關鍵詞 | 複合信號分類技術; 信號的到達方向; 直列序列分碼多工; 空間特徵; 單一輸入多重輸出; Direction-of-arrivals; DOAs; MUSIC; DS/CDMA; Spatial signature; SIMO; |
語文 | 英文(English) |
中文摘要 | 在一個上鏈的直列序列分碼多工系統中,一設置陣列天線的基地台其通道可被當成一多重單一輸入多重輸出系統。當我們考慮多重路徑衰減的情況下,我們可以收集所有多重路徑當成是一個單一信號。因此根據每一個路徑到達的方向,可以將composite spatial signature 當成是多個steering vectors的線性組合。而基地台靠著所有使用者composite spatial signature之精確的資料來進一步取得每位使用者的資料。傳統的複合信號分類技術(multiple signal classification,MUSIC)並不能在同調信號的環境下估計信號的到達方向而多維複合信號分類技術(multidimensional multiple signal classification,MD-MUSIC)也因複雜度過高不被採用。本篇論文提出在多使用者的直列序列分碼多工通訊系統利用Blind algorithm的方法來估計composite spatial signature。利用直列序列分碼多工陣列天線的空時特性,我們可以轉換多用戶多維參數估計問題為一系列單一用戶之最佳化問題。這套演算法可以有效的計算出composite spatial signature而且不需要training sequences,經驗證明能抵抗遠近問題。 |
英文摘要 | In an uplink DS/CDMA cellular system with antenna arrays equipped with a basestation, the channel can be modeled as a multiple single-input-multiple-output (SIMO) system. As multipath fading is considered, all multipath components associated with a single mobile can be grouped as a single signal. Hence, the composite steering vector (spatial signature) is a linear combination of steering vectors corresponding to distinct direction-of-arrivals (DOAs) for each path. The basestation relies on accurate information from all the users’ composite spatial signatures to exploit multiuser detection techniques to extract each user’s data. A conventional multiple-signal classification (MUSIC) algorithm cannot be applied to estimate the DOAs in a coherent signal environment, and the multidimensional MUSIC (MD-MUSIC) method is computationally prohibitive. This study proposes a blind algorithm to estimate the composite spatial signatures in a multiuser DS/CDMA communication system. By making use of the space-time characteristics of an antenna-array DS/CDMA model, the multiuser multidimensional parameter estimation problem is converted into a set of single-user optimization problems. Each user’s composite spatial signature is then determined by exploiting the subspace concept. The proposed algorithm is computationally efficient, and no training sequences are required. More specifically, the simulation result demonstrates that the algorithm is near-far resistant. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。