BER performance of OFDM system in noise and fading channel for modified SL0 sparse algorithm

In modern communication systems, OFDM technique is extensively useful to reduce the bandwidth and its enhancement ability of the data rate. In this paper, we deal with generalize model of OFDM system in wireless communication. And we represent communication channel which is sparse in nature. For such channel condition, to reconstruct the signal, sparse channel estimation methods are used. Hence we proposed modified SL0 algorithm for sparse channel estimation based on compressive sensing technique. Using our proposed method, we show the simulated result for different channel conditions. In wireless communication channel, noise gets added to signal or signal gets faded or both can happen. Therefore, by using our proposed algorithm in OFDM system, we showed the comparison for different modulation techniques. We show the BER performance in AWGN condition. And also we show the simulated result for Rayleigh fading as well as Rician fading condition.