Title: Application of Compressed Sensing in Sparse Channel Estimation of OFDM
Abstract: In combination of CS(compressed sensing) theory and for the sparseness of OFDM channel,a new channel estimation algorithm known as CoSaMP(compressible samples matching pursuit),is proposed,and this algorithm,in essence,is a greedy algorithm,and with fairly few pilots,could acquire better channel estimation performance,raise the spectral resource utilization and accelerate the computing speed.Principles and procedures of CoSaMP are described in detail,and comparisons of CoSaMP with orthogonal matching pursuit(OMP) and matching pursuit(MP) also made and given.Theoretical analysis and experimental simulation indicate that the CoSaMP algorithm is feasible and effective.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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