Abstract
Fully integrated CMOS frequency-modulated continuous-wave radar ICs are under development, in which computing FFTs cost a significant amount of energy.
In this paper we introduce a power-efficient FFT solution which exploits that intermediate results of FFT computations typically have small amplitudes in FMCW radar systems. We propose using the sign-magnitude number representation combined with a custom, unsigned Booth multiplier that does not generate negative numbers internally, significantly decreasing switching activity.
RTL power-simulation results show up to 46.45% less power usage with our sign-magnitude radix-2 FFT implementation compared to a two’s complement design, while only having a 6.67% lower maximum clock speed.
In this paper we introduce a power-efficient FFT solution which exploits that intermediate results of FFT computations typically have small amplitudes in FMCW radar systems. We propose using the sign-magnitude number representation combined with a custom, unsigned Booth multiplier that does not generate negative numbers internally, significantly decreasing switching activity.
RTL power-simulation results show up to 46.45% less power usage with our sign-magnitude radix-2 FFT implementation compared to a two’s complement design, while only having a 6.67% lower maximum clock speed.
Original language | English |
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Title of host publication | 14th Workshop on Design and Architectures for Signal and Image Processing, DASIP 2021 |
Editors | Tomasz Kryjak, Andrea Pinna |
Place of Publication | Budapest, Hungary |
Pages | 52-59 |
Number of pages | 8 |
Edition | 14 |
ISBN (Electronic) | 9781450389013 |
DOIs | |
Publication status | Published - 1 Feb 2021 |
Event | 14th Workshop on Design and Architectures for Signal and Image Processing, DASIP 2021 - Virtual Event Duration: 18 Jan 2021 → 20 Jan 2021 Conference number: 14 https://dasip2021.agh.edu.pl/ |
Publication series
Name | ACM International Conference Proceeding Series |
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Workshop
Workshop | 14th Workshop on Design and Architectures for Signal and Image Processing, DASIP 2021 |
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Abbreviated title | DASIP 2021 |
City | Virtual Event |
Period | 18/01/21 → 20/01/21 |
Internet address |