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  • 學位論文

雙向傳輸放大轉發式MIMO多中繼系統之中繼及天線選擇技術之研究

Relay and Antenna Selection for MIMO Two-Way AF Relaying

指導教授 : 胡家彰
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摘要


多重輸入多重輸出(multiple-input multiple-output, MIMO)無線通訊系統結合中繼網路(relay network)能夠顯著地改善分集增益(spatial diversity)與系統傳輸時的可靠度,且不需消耗多餘的傳輸能量即可有效率的擴大訊號之覆蓋範圍。然而,卻也提升高頻電路的個數與系統複雜度,使得成本也相對提高。為了有效控制成本又能夠維持系統效能,天線選擇技術被提出。本論文分為兩個部份做討論,首先討論在不完美通道資訊(channel state information, CSI)下相關性通道雙向傳輸(two-way)放大轉發式(amplify-and-forward, AF) MIMO無線通訊系統結合多中繼節點之中繼暨天線選擇技術,並為使系統通道容量最大化,本論文提出Gram-Schmidt (GS)與adaptive discrete stochastic approximation (A-DSA) 兩種中繼與天線選擇演算法;A-DSA演算法透過迭代之方式使得所選中繼節點與天線組合收斂至系統最佳解。以及在時間及空間相關性通道下,利用卡爾曼濾波器(Kalman filter)進行迭代以追蹤通道,並基於最小均方誤差(minimum mean square error, MMSE)的方式選取最佳之中繼節點與傳送及接收天線組合。卡爾曼濾波器進行通道追蹤時,以迭代方式更新卡爾曼增益(Kalman gain)、估測通道(estimation channel)及誤差相關矩陣(error covariance matrix),最後再利用估測通道進行位元誤碼率(bit error rate, BER)分析。

並列摘要


Multiple-input multiple-output (MIMO) relay networks with the aid of multiple antennas at the transmitter and receiver ends are capable of improving transmission reliability of wireless links. However, the multiple radio frequency (RF) chains associated with multiple antennas are known to be quite expensive. The use of an antenna subset selection technique is a low-cost alternative to achieve many advantages of MIMO relay networks. In this thesis, we separate capacity based and performance based to show our research. We first discuss the two-way MIMO amplify-and-forward (AF) relaying systems in the presence of spatial correlation between antennas over fading channels under imperfect channel state information. And then the Kalman-based antenna selection (AS) is proposed for the AF MIMO two-way relay networks under the temporally and spatially correlated MIMO channels. The Kalman-based recursive scheme plays an important role on the time-varying (t.v.) channel estimation based on the minimum mean square error (MMSE) criterion in order to select the optimal relay and the subset of transmit-and-receive antenna pairs.

參考文獻


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