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Robust timing estimation for high data rate mobile OFDM systems
Suyotoa,b, Sugihartonoa, Iskandara, Kurniawan A.a
a School of Electrical Engineering & Informatics, Bandung Institute of Technology (ITB), Bandung, 40132, Indonesia
b Research Center for Informatics, Indonesian Institute of Sciences (LIPI), Bandung, 40135, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017, School of Electrical Engineering and Informatics. All rights reserved.The Symbol timing estimation in a high data rate mobile OFDM systems is a challenging task, this is due to the high delay spread. A conventional timing estimation based on autocorrelation experience performance degradation due to multipath channel distortion. To improve the performance of autocorrelation technique, we propose a normalized 3-rd order central moment for symmetric correlator as test statistics. When the training symbol is received, the distribution of the symmetric correlator is Rician distribution. This will be different from no training symbol is received, the distribution of the symmetric correlator is Rayleigh distribution. After we perform coarse timing estimation using a normalized 3-rd order central moment, fine timing estimation is done using the cyclic shift of a channel estimate. The simulations results have shown that our method is robust in the fading multipath channel and has better performance than the previous methods.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]High data rate,Mobile,Multipath channel,OFDM,Timing estimation[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.15676/ijeei.2017.9.3.10[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]