臺灣博碩士論文加值系統

本篇論文提出一個新的方法用來估計平均到達角度及角度分散。首先將正交分頻多工系統中的領航訊號用於匹配追蹤方法估算通道脈衝響應，之後計算每個通道階的相關性矩陣。並從中估計出其平均到達角度，再使用分散式信號參數估計方法估計其角度分散。對均勻線性陣列系統，分散式信號參數估計方法需要二維搜索然而提出的方法只需要一維，然後再擴展到平面陣列系統。在平面陣列系統下，分散式信號參數估計方法需要進行四維搜索，然而提出的方法則是二維，明顯的降低計算複雜度。模擬結果展現提出的方法優於傳統的平均到達角度及角度分散之估計方法。

This thesis proposes a new method for mean angle-of-arrival (MAoA) and angular spread (AS) estimation method. With OFDM pilots, the channel impulse response is first estimated with a matching pursuit MP based method. After that, the correlation matrix for each channel tap is calculated, from which the MAoA is first estimated. Then, the distributed-signal-parameter-estimator (DSPE) method is used for AS estimation. For a system with uniform linear array, the DSPE method requires a two-dimensional search while the proposed method only requires one-dimensional. The proposed method is then extended to system with uniform planar array. In this case, DSPE requires a four-dimensional search while the proposed method requires two. The reduction in computational complexity is significantly. Simulations show that the proposed method greatly outperforms conventional methods for MAoA and AS estimation.

摘要 i
Abstract ii
Acknowledgement iii
Content iv
List of tables vi
List of figures vii
Chapter 1. Introduction 1
Chapter 2. MAoA and AS Estimation Methods 4
2.1 SR-MUSIC method 4
2.1.1 System model 4
2.1.2 MAoA and AS estimation 6
2.2 Two-ray correlation matrix method 8
2.2.1 System model 8
2.2.2 MAoA and AS estimation 9
2.3 Distributed signal parameter estimation method 11
2.3.1 System model 11
2.3.2 MAoA and AS estimation 12
Chapter 3. Joint AoA and Channel Estimation 15
3.1 Time domain channel estimation 15
3.1.1 System model 15
3.1.2 Channel estimation with MP-based method 18
3.2 Joint AoA and channel estimation 20
3.2.1 System model 20
3.2.2 Channel estimation 22
3.2.3 AoA estimation 24
Chapter 4. Proposed Method 26
4.1 Joint AoA, AS, and channel estimation for ULA 26
4.1.1 System model 26
4.1.2 Proposed MAoA and AS estimation method for ULA 27
4.2 Joint AoA, AS, and channel estimation for UPA 31
4.2.1 System model 32
4.2.2 Proposed MAoA and AS estimation method for UPA 34
Chapter 5. Simulations 39
5.1 Scenario 39
5.2 Joint AoA, AS, and channel estimation for ULA 41
5.2.1 SR-MUSIC method 43
5.2.2 TRCM method 47
5.2.3 DSPE method 54
5.2.4 Proposed method 61
5.3 Joint AoA, AS, and channel estimation for UPA 68
Chapter 6. Conclusions 84
References 85

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