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Performance evaluation coarse time synchronization of OFDM system under COST 207 multipath channel model
Suyotoa,b, Kurniawan A.a, Sugihartonoa, Suryana J.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
b Research Center of Informatics, Lembaga Ilmu Pengetahuan Indonesia, Bandung, 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]© 2014 IEEE.Robust high data rate have several challenges in mobile communication, because data transmission experience higher delay spread and the link is less reliable. Orthogonal Frequency Division Multiplexing (OFDM) is suitable modulation technique for higher delay spread applications. However the performance of OFDM is very sensitive against time synchronization error. In this research, we evaluate the performance of coarse timing synchronization in OFDM communication system under COST 207 multipath channel model. We give performance evaluation of time synchronization by comparing the existing time synchronization algorithms that has impulse-like timing metric. Here will be presented four algorithms that use preamble based to calculate the arrival time of OFDM symbol. Simulation is done by considering effect of Channel Impulse Response (CIR), Signal to Noise Ratio (SNR), and Carrier Frequency Offset (CFO). Performance of the algorithm is measured by MSE (Mean Squared Error) of timing point. Simulation result show that using identical symmetric training symbol is good for rural area. A methode using statistical change of symmetric correlator is good for urban, bad urban, and hilly terrain area and can reduce ambiguity for calculating the arrival time of OFDM symbol at receiver side.[/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]Carrier frequency offsets,CFO,Channel impulse response,Coarse timing synchronizations,Multipath channel models,Time synchronization,Time synchronization algorithms,Time synchronization errors[/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]CFO,Mobility,Multipath channel,OFDM,Time Synchronization[/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/10.1109/ICoICT.2014.6914101[/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]