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Article . 2017 . Peer-reviewed
License: Elsevier TDM
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An area-efficient and low-power 64-point pipeline Fast Fourier Transform for OFDM applications

Authors: Ganesh Kumar Ganjikunta; Subhendu Kumar Sahoo;

An area-efficient and low-power 64-point pipeline Fast Fourier Transform for OFDM applications

Abstract

In an orthogonal frequency division multiplexing (OFDM) based wireless systems, Fast Fourier Transform (FFT) is a critical block as it occupies large area and consumes more power. In this paper, we present an area-efficient and low power 16-bit word-width 64-point radix-22 and radix-23 pipelined FFT architectures for an OFDM-based IEEE 802.11a wireless LAN baseband. The designs are derived from radix-2k algorithm and adopt a Single-Path Delay Feedback (SDF) architecture for hardware implementation. To eliminate the complex multipliers and read-only memory (ROM) which is used for internal storage of twiddle factor coefficients, the proposed 64-point FFT employs a Canonical Signed Digit (CSD) complex constant multiplier using adders, multiplexers and shifters. The complex constant multiplier (CCM) is modified using common sub-expression sharing block that reduces the area of the design. The proposed radix-22 and radix-23 pipelined FFT architectures are modeled and implemented using TSMC 180nm CMOS technology with a supply voltage of 1.8V. The implementation results show that the proposed architectures significantly reduces the hardware cost and power consumption in comparison to existing 64-point FFT architectures. HighlightsWe present R22SDF and R23SDF pipelined 64-point FFT architectures that are suitable for OFDM based wireless systems.Proposed architecture employs radix-2k algorithm and pipeline single-path delay feedback architecture.The complex multipliers are realized using modified CSD complex constant multipliers (CCM1, CCM2 and CCM3).Implementation results show reduction in hardware cost and power consumption of the proposed architectures .

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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