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PCA Application in Channel Estimation in MIMO-OFDM System
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作者 Mona Nasseri Hamidreza Bakhshi +2 位作者 Sara Sahebdel razieh falahian Maryam Ahmadi 《International Journal of Communications, Network and System Sciences》 2011年第6期384-387,共4页
Initial estimation is a considerable issue in channel estimation techniques, since all of the following processes depends on it, which in this paper its improvement is discussed. Least Square (LS) method is a common s... Initial estimation is a considerable issue in channel estimation techniques, since all of the following processes depends on it, which in this paper its improvement is discussed. Least Square (LS) method is a common simple way to estimate a channel initially but its efficiency is not as significant as more complex approaches. It is possible to enhance channel estimation performance by using some methods such as principal component analysis (PCA), which is not prevalent in channel estimation, and its adaptation to channel information can be challenging. PCA method improves initial estimation performance by projecting data onto direction of eigenvectors by means of using simple algebra. In this paper, channel estimation is examined in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system, with significant advantages such as an acceptable performance in frequency selective fading channel. Moreover the proposed channel estimation method manipulates the benefits of MIMO channel by using the information, gained by all channels to estimate the information of each receiver. 展开更多
关键词 CHANNEL ESTIMATION MIMO-OFDM Pca PILOT Aided Technique
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