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Signal detection for batteryless backscatter systems with multiple-antenna tags
Hu G.a, Zhu Y.a, Zhao W.a, Jia M.b, Juliyanto B.c, Nazaruddin Y.Y.c
a School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
b Beijing Polytechnic College, Department of Information Engineering, Beijing, China
c Instrumentation Control Research Group, Institut Teknologi Bandung, 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]© 2019 IEEE.Ambient backscatter, one type of batteryless backscatter, is a new technology that utilizes environmental wireless signals to enable battery-free devices to communicate with each other. Most existing studies on ambient backscatter are based on the assumption of a single antenna at each tag. In this paper, we investigate signal detection in ambient backscatter communication systems with multiple-antenna tags. The use of multiple antennas results in multiple channel parameters between the tag and the reader, which constitutes the main challenge for signal detection because the tag has limited power and can transmit few training symbols. We show that traditional detection algorithms can not be directly applied into these Batteryless Backscatter systems with multiple-antenna tags. New detectors are to be designed for such systems, which is a good topic for future research.[/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]Detection algorithm,Multiple antenna,Multiple channels,New detectors,Probability of detection,Single antenna,Training symbols,Wireless signals[/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]Ambient backscatter,Channel state information (CSI),Multiple antennas,Probability of detection,Signal detection[/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][{‘$’: ‘Grant KM201910853003, by the National Natural Science Foundation of China (No. 61571037 and No. 61871026), and by Major projects of Beijing Municipal Science and Technology Commission under Grant No. Z181100003218010.’}, {‘$’: ‘ACKNOWLEDGEMENT This study is supported in part by Scientific Research Program of Beijing Municipal Commission of Education under’}][/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/ICCChinaW.2019.8849944[/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]