Improved Channel Estimation Based on Sorted GAIC for OFDM Systems in Sparse Multipath Channels
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概要
- 論文の詳細を見る
In this letter, we propose a novel sparse channel estimation method for orthogonal frequency division multiplexing (OFDM) systems. The proposed method uses a discrete Fourier transform (DFT)-based technique for channel estimation and a sorted generalized Akaike information criterion (GAIC) to estimate the channel length and tap positions. Simulation results demonstrate that an improved channel estimation performance is obtained due to the reduction of signal space.
- （社）電子情報通信学会の論文
- 2010-01-01
著者
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YOU Xiaohu
National Mobile Communications Research Laboratory, Southeast University
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CHEN Lan
DOCOMO Beijing Communication Laboratory Co., Ltd.
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Chen Lan
Docomo Beijing Communications Labs Co. Ltd
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Chen Lan
Docomo Beijing Communication Laboratories Co. Ltd.
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Chen Lan
Docomo Beijing Communications Laboratories Co. Ltd.
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You Xiaohu
National Mobile Communications Research Laboratory Southeast University
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You Xiaohu
School Of Information Science And Engineering Southeast University
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You Xiaohu
National Mobile Commun. Research Lab. Southeast University
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You Xiaohu
National Mobile Communication Research Lab. Southeast University
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ZHU Pengcheng
National Mobile Communications Research Laboratory, Southeast University
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SHENG Bin
National Mobile Communications Research Laboratory, Southeast University
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ZHU Pengcheng
DoCoMo Beijing Communications Laboratories Co., Ltd.
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You Xiaohu
National Mobile Communications Research Laboratory Southeast Univ.
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Zhu Pengcheng
Docomo Beijing Communications Laboratories Co. Ltd.
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Sheng Bin
National Mobile Communications Research Laboratory Southeast University
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