Compressive sensing based underwater channel estimation

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

“…of metrics like Bit Error Rate (BER) and Mean Square Error (MSE) is much better than LS channel estimation technique [6][7][8][9][10]. Based on the theory that the transmission channel is sparse with only few major channel coefficients, compressive sensing based channel estimation algorithms are also gaining popularity [11][12][13][14][15][16][17][18]. As claimed by the compressive sensing theory, if the signal is sparse in its known basis, then fewer measurements of the signal may be needed to represent the signal in its compressed form [19][20][21].…”