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Pipelined CORDIC Architecture Based DDFS Design and Implementation
In this paper, an efficient approach is presented to design and implement a moderate speed and area efficient digital sinusoidal and cosinusoidal wave generator for wireless applications like RADAR, Digital Signal Processing. The implementation is based on direct digital frequency synthesizer using...
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creator | Verma, Sandeep Kumar Pullakandam, Muralidhar Yanamala, Rama Muni Reddy |
description | In this paper, an efficient approach is presented to design and implement a moderate speed and area efficient digital sinusoidal and cosinusoidal wave generator for wireless applications like RADAR, Digital Signal Processing. The implementation is based on direct digital frequency synthesizer using Coordinate Rotation Digital Computer (CORDIC) algorithm which uses shifts, additions, and a very small look-up table (LUT). It is an efficient method used to compute trigonometric functions, multiplications, divisions, data type conversions, and hyperbolic functions simply and elegantly. The proposed design is synthesized with Xilinx Vivado v.2022.2 tools, simulated with Vivado Built-in simulator, and practically verified the designed CORDIC processor IP with Virtual Input Output (VIO), and Integrated Logic Analyzer (ILA) on Xilinx NEXYS 4 DDR (XC7A100T-CSG324) Artix-7 Series FPGA Board. The project attempts to reduce resource use while enhancing delay, accuracy, resolution, and area. The results demonstrated improved performance using the proposed CORDIC algorithm in terms of power consumption, high resolution, resource utilization, and generate moderate speed of sinusoidal and cosine waveforms for a frequency range from 2.78 x 10 -5 MHz to 99.72 MHz. |
doi_str_mv | 10.1109/INDICON59947.2023.10440811 |
format | conference_proceeding |
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The implementation is based on direct digital frequency synthesizer using Coordinate Rotation Digital Computer (CORDIC) algorithm which uses shifts, additions, and a very small look-up table (LUT). It is an efficient method used to compute trigonometric functions, multiplications, divisions, data type conversions, and hyperbolic functions simply and elegantly. The proposed design is synthesized with Xilinx Vivado v.2022.2 tools, simulated with Vivado Built-in simulator, and practically verified the designed CORDIC processor IP with Virtual Input Output (VIO), and Integrated Logic Analyzer (ILA) on Xilinx NEXYS 4 DDR (XC7A100T-CSG324) Artix-7 Series FPGA Board. The project attempts to reduce resource use while enhancing delay, accuracy, resolution, and area. 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The results demonstrated improved performance using the proposed CORDIC algorithm in terms of power consumption, high resolution, resource utilization, and generate moderate speed of sinusoidal and cosine waveforms for a frequency range from 2.78 x 10 -5 MHz to 99.72 MHz.</description><subject>Computer architecture</subject><subject>CORDIC</subject><subject>DDFS</subject><subject>FPGA</subject><subject>Hardware implementation</subject><subject>ILA</subject><subject>Pipeline</subject><subject>Pipelines</subject><subject>Power demand</subject><subject>Resource management</subject><subject>Signal processing algorithms</subject><subject>Simulation</subject><subject>Synthetic aperture radar</subject><subject>Table lookup</subject><subject>Verilog HDL</subject><subject>VIO</subject><issn>2325-9418</issn><isbn>9798350305593</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j0tLw0AURkdBsNT-AxfBfeK980jmLtvEaqC04mNdJpkbHUliSeLCf29AXX2LczjwCXGDkCAC3Zb7oswPe0Oks0SCVAmC1mARz8SKMrLKgAJjSJ2LhVTSxKTRXorVOH4AgARANHohNo_hxG3o2Uf54WluRuuhfg8T19PXwNHGjTMpiu1zVPAY3vrI9T4qu1PLHfeTm8JnfyUuGteOvPrbpXjd3r3kD_HucF_m610cEGmKK5-C1SAzR41syFmL5JVxTUoejalTh1pX7JWqbZNar5pZ4sowWQZtlFqK699uYObjaQidG76P_7fVD86xS_I</recordid><startdate>20231214</startdate><enddate>20231214</enddate><creator>Verma, Sandeep Kumar</creator><creator>Pullakandam, Muralidhar</creator><creator>Yanamala, Rama Muni Reddy</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20231214</creationdate><title>Pipelined CORDIC Architecture Based DDFS Design and Implementation</title><author>Verma, Sandeep Kumar ; Pullakandam, Muralidhar ; Yanamala, Rama Muni Reddy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i119t-bd6084027a9f2f9a8819d35af69d155c6a144bed33c8f68d3ff9aeb5e98e04533</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer architecture</topic><topic>CORDIC</topic><topic>DDFS</topic><topic>FPGA</topic><topic>Hardware implementation</topic><topic>ILA</topic><topic>Pipeline</topic><topic>Pipelines</topic><topic>Power demand</topic><topic>Resource management</topic><topic>Signal processing algorithms</topic><topic>Simulation</topic><topic>Synthetic aperture radar</topic><topic>Table lookup</topic><topic>Verilog HDL</topic><topic>VIO</topic><toplevel>online_resources</toplevel><creatorcontrib>Verma, Sandeep Kumar</creatorcontrib><creatorcontrib>Pullakandam, Muralidhar</creatorcontrib><creatorcontrib>Yanamala, Rama Muni Reddy</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Verma, Sandeep Kumar</au><au>Pullakandam, Muralidhar</au><au>Yanamala, Rama Muni Reddy</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Pipelined CORDIC Architecture Based DDFS Design and Implementation</atitle><btitle>2023 IEEE 20th India Council International Conference (INDICON)</btitle><stitle>INDICON</stitle><date>2023-12-14</date><risdate>2023</risdate><spage>1440</spage><epage>1445</epage><pages>1440-1445</pages><eissn>2325-9418</eissn><eisbn>9798350305593</eisbn><abstract>In this paper, an efficient approach is presented to design and implement a moderate speed and area efficient digital sinusoidal and cosinusoidal wave generator for wireless applications like RADAR, Digital Signal Processing. The implementation is based on direct digital frequency synthesizer using Coordinate Rotation Digital Computer (CORDIC) algorithm which uses shifts, additions, and a very small look-up table (LUT). It is an efficient method used to compute trigonometric functions, multiplications, divisions, data type conversions, and hyperbolic functions simply and elegantly. The proposed design is synthesized with Xilinx Vivado v.2022.2 tools, simulated with Vivado Built-in simulator, and practically verified the designed CORDIC processor IP with Virtual Input Output (VIO), and Integrated Logic Analyzer (ILA) on Xilinx NEXYS 4 DDR (XC7A100T-CSG324) Artix-7 Series FPGA Board. The project attempts to reduce resource use while enhancing delay, accuracy, resolution, and area. The results demonstrated improved performance using the proposed CORDIC algorithm in terms of power consumption, high resolution, resource utilization, and generate moderate speed of sinusoidal and cosine waveforms for a frequency range from 2.78 x 10 -5 MHz to 99.72 MHz.</abstract><pub>IEEE</pub><doi>10.1109/INDICON59947.2023.10440811</doi><tpages>6</tpages></addata></record> |
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identifier | EISSN: 2325-9418 |
ispartof | 2023 IEEE 20th India Council International Conference (INDICON), 2023, p.1440-1445 |
issn | 2325-9418 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Computer architecture CORDIC DDFS FPGA Hardware implementation ILA Pipeline Pipelines Power demand Resource management Signal processing algorithms Simulation Synthetic aperture radar Table lookup Verilog HDL VIO |
title | Pipelined CORDIC Architecture Based DDFS Design and Implementation |
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