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Least Square (LS) estimation method in Orthogonal Frequency Division Multiplexing (OFDM) system ignores the noise effect in the process of choosing the residual of atom update. In order to solve this issue, an improved Compressed Sampling Matching Pursuit (CoSaMP) algorithm is proposed by using the sparsity of the time-domain channel. Firstly, the initial channel estimation is performed by CoSaMP algorithm. Then, the Linear Minimum Mean Square Error (LMMSE) is used to reduce the noise, which improves the estimation accuracy. The simulation results show that the improved CoSaMP algorithm has better performance in mean square error and Bit Error Ratio (BER) estimation than traditional CoSaMP algorithm.