In wireless communication systems, Orthogonal Frequency Division Multiplexing (OFDM) is implemented widely due to its high rate transmission capability. The bandwidth efficiency and robust against multipath propagation makes OFDM as a suitable applicant for wireless communication. Channel State Information (CSI) is the vital parameter in deciding the capacity of the system. In this paper, the sparse MIMO channel is estimated using Least Square (LS) and Minimum Mean Square Error (MMSE) algorithms. The performance of these algorithms depends on the number of pilot symbols. The complexity of LS algorithm is very low but the mean square error is high. MMSE algorithm uses the second order channel statistics to reduce the mean square error. Simulation results show that MMSE algorithm outperforms LS algorithms in terms of Mean square error and Bit Error Rate(BER).