- 學位論文
正交分頻多工系統中最小平均平方誤差演算法與卡爾曼濾波器之通道估測
Utilizing Minimum Mean-Square-Error algorithm and Kalman Filter for channel estimation in Orthogonal Frequency-Division Multiplexing system
摘要
在本文中，我們將探討無線網路之正交分頻多工系統，透過最小平均平方誤差演算法與卡爾曼濾波器進行通道頻率響應的計算與估測。我們將分別介紹最小平均平方誤差與卡爾曼濾波器的演算法，並使用幾種通道模型來加以分析與模擬。我們將傳輸通道設定為頻率慢速衰減通道，這些通道雜訊為白色高斯模型以及通道衰減為雷利衰減模型。我們將最小平均平方誤差演算法與卡爾曼濾波器結合，以最小平均平方誤差演算法在時間與頻率之間估測與計算出初始之通道頻率響應值，再以卡爾曼濾波器預測、量測、與估算後續之通道頻率響應值，並模擬一個正交分頻多工傳輸系統。最後在通道估測中應用符號錯誤率與信號對雜訊比量測估測之效能。
並列摘要
In this report, the channel frequency response of the wireless Orthogonal Frequency-Division Multiplexing system has been estimated and modeled by utilizing the minimum mean-square-error (MSE) algorithm and kalman filtering algorithm. Two channel models have been developed for the system considered, namely, an additive white Gaussian noise only channel and a Rayleigh slow-fading channel with white Gaussian noise added channel. With the models developed several examples have been simulated to study the resulting system symbol error rates vs. signal to noise ratios and fading factors to study the effectiveness of the developed algorithm.
參考文獻
延伸閱讀
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