Hilbert fast-SAMP with different channel estimation schemes of BER analysis in MIMO-OFDM system
by D. Kumutha; N. Amutha Prabha
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 8, No. 2, 2018

Abstract: In the OFDM system, there are huge number of sub carrier and high range of signal that produce a very high peak to average ratio reduction (PAPR), so that the signal degrades and further effects the overall bit error rate (BER) performance. The channel estimation techniques are used to avoid much training overhead, that makes an issue in coherent detection. Sparsity adaptive matching pursuit (SAMP) exists thereby the backward pursuit iteration can be repeated for many times, if the support set expands. Due to this iteration, the performance of BER increases, delay occurs and also provides computationally complexity. To avoid the backward pursuit iteration, Hibert-fast sparsity adaptive matching pursuit (HF-SAMP) is proposed which reduces the computational complexity and decreases the BER performance to the maximum extent. Zero padding is also appended, results in better improvement of BER performance. The performance of BER, SNR, MSE and PAPR using the channel estimation (CE) and pilot design (PD) techniques are analysed and the proposed technique yields better and thereby performance rate increases than the other existing conventional algorithms. MATLAB is used for performing the simulations.

Online publication date: Wed, 25-Jul-2018

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