Title: Algorithm of sparse channel estimation based on compressive sensing
Abstract:Due to the conventional least square(LS) channel estimators get poor performance even with lots of pilots in OFDM system,a new channel estimation algorithm based on compressive sampling matching pursu...Due to the conventional least square(LS) channel estimators get poor performance even with lots of pilots in OFDM system,a new channel estimation algorithm based on compressive sampling matching pursuit(CoSaMP) is proposed.Firstly,the mathematical model is established by frequency domain equation of transmission signal,received signal and channel.Then,CoSaMP is utilized to recovery the channel.Simulation results show that,compared with conventional least square(LS) estimation algorithm,the algorithm can obtain accurate CSI with fewer pilots to improve frequency spectrum utilization.Moreover,the algorithm had better performance and lower computational complexity than the existing channel estimation based on compressive sensing(basis pursuit(BP) and orthogonal matching pursuit(OMP) algorithmsRead More
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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