Performance Analysis of Compressive Sensing based LS and MMSE Channel Estimation Algorithm

Ami Munshi, Srija Unnikrishnan


In this paper, the optimality of Compressive Sensing based Least Square (LS-CS) and Compressive Sensing based Minimum Mean Square (MMSE-CS) channel estimation algorithms in Multi Input Multi Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system is investigated for a sparse communication channel. The performance of LS, MMSE, LS-CS and MMSE-CS channel estimation algorithms in terms of sparsity of the channel, compressive sensing and mathematical complexity is investigated and analyzed so that optimum ranges can be recommended.


Compressive sensing, LS, MMSE, channel estimation, MIMO, OFDM

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