The University of Southampton
University of Southampton Institutional Repository

Performance of methods based on the fractional Fourier transform for the detection of linear frequency modulated signals

Performance of methods based on the fractional Fourier transform for the detection of linear frequency modulated signals
Performance of methods based on the fractional Fourier transform for the detection of linear frequency modulated signals
Analysis of detectors of linear frequency modulated (LFM) signals based on the fractional Fourier transform (FrFT) is
presented. This allows one to conduct a fair comparison of the performance of these methods with those based on the Fourier transform (FT). In order to facilitate this analysis, expressions for the distribution of the coefficients of the FrFT are presented. Analytic approximations for the FT of the LFM signals are also developed. It is shown that the FrFT methods achieve superior performance if the sweep rate is sufficiently fast or the data length is sufficiently large.
1751-9675
478-483
White, Paul R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Locke, Jonathan D.
2e4345cd-703f-4287-b1e2-7b43a3d1f419
White, Paul R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Locke, Jonathan D.
2e4345cd-703f-4287-b1e2-7b43a3d1f419

White, Paul R. and Locke, Jonathan D. (2012) Performance of methods based on the fractional Fourier transform for the detection of linear frequency modulated signals. IET Signal Processing, 6 (5), 478-483. (doi:10.1049/iet-spr.2011.0189).

Record type: Article

Abstract

Analysis of detectors of linear frequency modulated (LFM) signals based on the fractional Fourier transform (FrFT) is
presented. This allows one to conduct a fair comparison of the performance of these methods with those based on the Fourier transform (FT). In order to facilitate this analysis, expressions for the distribution of the coefficients of the FrFT are presented. Analytic approximations for the FT of the LFM signals are also developed. It is shown that the FrFT methods achieve superior performance if the sweep rate is sufficiently fast or the data length is sufficiently large.

Text
IET_Fractional_FT_White_and_Lock_(2012).pdf - Author's Original
Restricted to Repository staff only
Request a copy

More information

Published date: 6 September 2012
Organisations: Signal Processing & Control Grp

Identifiers

Local EPrints ID: 343824
URI: http://eprints.soton.ac.uk/id/eprint/343824
ISSN: 1751-9675
PURE UUID: 5f3335a4-e781-4a8a-859e-862846419dca
ORCID for Paul R. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 10 Oct 2012 14:40
Last modified: 12 Jul 2024 01:33

Export record

Altmetrics

Contributors

Author: Paul R. White ORCID iD
Author: Jonathan D. Locke

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×