Performance analysis of a FPGA based novel binary and DBNS multiplier

Author:

Saha Amrita,Mukherjee Manideepa,Datta Debanjana,Saha Sangita,Sinha Amitabha

Abstract

Designing high performance Software Defined Radio (SDR) with low power and flexibility is a major challenge. While the high performance DSP processors are unable to meet the speed requirements of these SDRs, System on chips (SOCs) are also not suitable because of their limited flexibility. Recently dynamically reconfigurable FPGAs have emerged as high performance programmable hardware to execute highly parallel, computationally intensive signal processing functions efficiently. Since basic intention of an SDR is to implement different modulation / demodulation schemes and basic building blocks for such schemes are signal processing functions, FPGAs have become an important component for implementing these. However, the effectiveness of such an approach with respect to cost, performance and flexibility need to be examined. Double Base Number Systems (DBNS) have been gaining attention for compute intensive applications in signal processing because of their higher performance in arithmetic operations in general and particularly multiplication. Keeping these issues in view, this paper aims to present a new Software defined Radio. To Enhance the performance of the proposed architecture , analysis have been done employing both single index and multiple indices DBNS multipliers. Experiments and analysis on performance have also been done with its binary counterpart. Both DBNS and binary based architecture were implemented on Xilinx virtex iv FPGA using xilinx ISE 9.1 i.

Publisher

Association for Computing Machinery (ACM)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3