Skip to main content
Kent Academic Repository

Efficient Integer Frequency Offset Estimation Architecture for Enhanced OFDM Synchronization

Pham, Thinh Hung, Fahmy, Suhaib A, McLoughlin, Ian Vince (2016) Efficient Integer Frequency Offset Estimation Architecture for Enhanced OFDM Synchronization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24 (4). pp. 1412-1420. ISSN 1063-8210. (doi:10.1109/TVLSI.2015.2453207) (KAR id:55022)

Abstract

An integer frequency offset (IFO), in orthogonal

frequency-division multiplexing (OFDM) systems, causes a circular

shift of the sub-carrier indices in the frequency domain.IFO

can be mitigated through strict RF front-end design but this

is challenging and expensive. Therefore, IFO is estimated and

removed at baseband, allowing the RF front-end specification

to be relaxed, thus reducing system cost. For applications

susceptible to Doppler shift, and multi-standard radios requiring

wide frequency range access, careful RF design may be

insufficient without IFO estimation. This paper proposes a novel

approach for IFO estimation with reduced power consumption

and computational cost. A four-fold resource sharing architecture

reduces computational cost, while a multiplierless technique and

carefully optimised wordlengths yield further power reduction

while maintaining a good accuracy. The novel method is shown

to achieve excellent performance, similar to the theoretically

achievable bound. In fact, performance is significantly better

than conventional techniques, while being much more efficient.

When implemented for IEEE 802.16-2009, the proposed method

saves 78% power over the conventional technique on low-power

FPGA devices. The method is applicable to IEEE 802.11 and

IEEE 802.22.

Item Type: Article
DOI/Identification number: 10.1109/TVLSI.2015.2453207
Uncontrolled keywords: OFDM; digital signal processing; field programmable gate arrays;
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Ian McLoughlin
Date Deposited: 19 Apr 2016 10:02 UTC
Last Modified: 05 Nov 2024 10:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/55022 (The current URI for this page, for reference purposes)

University of Kent Author Information

McLoughlin, Ian Vince.

Creator's ORCID: https://orcid.org/0000-0001-7111-2008
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.