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.
478-483
White, Paul R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Locke, Jonathan D.
2e4345cd-703f-4287-b1e2-7b43a3d1f419
6 September 2012
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), .
(doi:10.1049/iet-spr.2011.0189).
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.
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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
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Date deposited: 10 Oct 2012 14:40
Last modified: 12 Jul 2024 01:33
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Author:
Jonathan D. Locke
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