Comparison of SNR Estimation Methods of OFDM System
K. Rajasekhar1, B. Prabhakara Rao2

1K. Rajasekhar, Research Scholar, Department of ECE, JNTUK, Kakinada (Andhra Pradesh), India.
2B. Prabhakara Rao, Professor, JNTUK, Kakinada (Andhra Pradesh), India.
Manuscript received on 26 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 08 May 2019 | PP: 565-567 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E12010275S19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper a new Signal-to-Noise-Ratio (SNR) estimation method is proposed for OFDM systems. The SNRs and NMSEs of different estimation techniques are determined for different number of symbols as 4, 8, 16, 32 and 64. From the results it is known that when number of symbols increases, the bit error rate increases which lead to the decrease of SNR. Simulation results shows that the performance of the OFDM System will be increased as the average SNR is high for the signal model method which is the proposed method and this method is better than the previous available methods. From the results, it is proved that the proposed signal model method bit error rates are low when compared to the existing methods.
Keywords: Signal to Noise Ratio, SNR Estimation, MLE, MMSE, OFDM.
Scope of the Article: Encryption Methods and Tools