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Efficient Sound-Source Localization system using low cost TDOA computation
Armansyah R.F.a, Ikram F.D.a, Nolika S.S.a, Adiono T.a
a Department of Electrical Engineering, School of Electrical and Informatics Engineering, Institut Teknologi Bandung, Bandung, 40132, 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.This paper presents VLSI design for sound-source localization by computing time difference of arrival (TDOA). Real-time computation yet few logic element consumption are targeted for this architecture. This system supports to recognize sound direction in 3 dimensional space by utilizing 4 sound sensors. In order to determine sound direction, we propose efficient cross-correlation method for TDOA computation and an optimized binary tree adder. The design is implemented in Altera Cyclone II FPGA with Verilog HDL coding. For 2 sound series computation, this system only consumes 5942 logic elements which are established by 5246 combinational functions and 1213 dedicated logic registers. The full processing time needs 128 clock cycles which is only 5.12 μs by using 25 MHz clock frequency. In addition, the proposed design can distinguish non-linear 64 points of direction per 90 degree.[/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]3-dimensional spaces,Combinational functions,Cross correlation methods,Cross correlations,Real-time computations,Sound localization,Sound source localization,VLSI design[/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]Cross correlation,Sound Localization,TDOA,VLSI design[/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.2016.7886741[/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]