研究テーマ:
OFDMシステムにおける圧縮センシングを用いた低計算量伝搬路推定

担当者:牛 少博   


研究概要

   Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation scheme which has been widely used in wideband digital communication systems. Recently, a novel technique called Compressive Sensing (CS) has been proposed to estimate the Channel State Information (CSI) for OFDM system, which provides an improvement of channel estimation performance even in the double-selective fading channel. However, the high computational complexity of CS restricts its implementation of practical applications. In this paper, a new method using 2-Step CS-based (2-SCS) channel estimation is proposed, which can effectively reduce the computational complexity. The Numerical results demonstrate that the proposed method gives accurate channel estimation performance for OFDM system.



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