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Pilot based LS channel estimation for downlink HAPS channel
Faradina N.a, Iskandara
a Radio Telecommunication and Microwave Laboratory, School of Electrical Engineering and Informatics, ITB, 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]© 2016 IEEE.In real wireless communication system nowadays, accurate channel estimations are required since the performances at the receiver affect the whole system. This paper aims to evaluate the performance of pilot based channel estimation. In this study, we use Least Square (LS) technique to evaluate the performances of downlink Long Term Evolution (LTE) deployed via High Altitude Platforms (HAPS). LTE and Multiple Input Multiple Output (MIMO) antenna become one of important parts in high data rate wireless telecommunication lately. While HAPs is new non-ground terrestrial technology that using air baloon as the platform that located in stratosphere make it an interesting technology to be investigating. By its position high above the earth’s surface the link transmission need to be good and reliable. So that, in this study, Single Input Single Output (SISO) and MIMO Space Time Block Code (STBC) Alamouti is used as the MIMO antenna. As performance’s indicator, BER (Bit Error Rate) to SNR (Signal to Noise Ratio) is used in this simulation.[/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]Alamouti,HAPs,Least Square,pilot based,STBC[/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]Alamouti,Channel Estimation,HAPs,Least Square,LTE,pilot based,STBC[/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/ISESD.2016.7886747[/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]