An Efficient Method with Guaranteed Convergence for Window Sidelobe Magnitude Reduction

Yong Ching Lim; Zhiyou Wu; Qinglai Liu; Paulo S.R. Diniz; Tapio Saramäki

doi:10.1109/LSP.2024.3403038

An Efficient Method with Guaranteed Convergence for Window Sidelobe Magnitude Reduction

Yong Ching Lim, Zhiyou Wu, Qinglai Liu, Paulo S.R. Diniz, Tapio Saramäki

Computing Sciences

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

A general and efficient method for scaling window sidelobe magnitude has been reported by Lim et al. Although the method always converges in practice, a rigorous proof of convergence is unavailable. In this paper, we introduce a new technique with guaranteed convergence for window sidelobe magnitude reduction. Without further modifications, the convergence speed of this new algorithm is quite the same as that of the previous one. Modifications aimed at speeding up convergence while maintaining the guaranteed convergence property are also presented.

Original language	English
Pages (from-to)	1516-1519
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	31
DOIs	https://doi.org/10.1109/LSP.2024.3403038
Publication status	Published - 2024
Publication type	A1 Journal article-refereed

Keywords

Main lobe sidelobe tradeoff
main lobe width
sidelobe magnitude
window

Publication forum classification

Publication forum level 2

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2024.3403038

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title = "An Efficient Method with Guaranteed Convergence for Window Sidelobe Magnitude Reduction",

abstract = "A general and efficient method for scaling window sidelobe magnitude has been reported by Lim et al. Although the method always converges in practice, a rigorous proof of convergence is unavailable. In this paper, we introduce a new technique with guaranteed convergence for window sidelobe magnitude reduction. Without further modifications, the convergence speed of this new algorithm is quite the same as that of the previous one. Modifications aimed at speeding up convergence while maintaining the guaranteed convergence property are also presented.",

keywords = "Main lobe sidelobe tradeoff, main lobe width, sidelobe magnitude, window",

author = "Lim, {Yong Ching} and Zhiyou Wu and Qinglai Liu and Diniz, {Paulo S.R.} and Tapio Saram{\"a}ki",

note = "Publisher Copyright: {\textcopyright} 1994-2012 IEEE.",

year = "2024",

doi = "10.1109/LSP.2024.3403038",

language = "English",

volume = "31",

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AU - Wu, Zhiyou

AU - Liu, Qinglai

AU - Diniz, Paulo S.R.

AU - Saramäki, Tapio

PY - 2024

Y1 - 2024

N2 - A general and efficient method for scaling window sidelobe magnitude has been reported by Lim et al. Although the method always converges in practice, a rigorous proof of convergence is unavailable. In this paper, we introduce a new technique with guaranteed convergence for window sidelobe magnitude reduction. Without further modifications, the convergence speed of this new algorithm is quite the same as that of the previous one. Modifications aimed at speeding up convergence while maintaining the guaranteed convergence property are also presented.

AB - A general and efficient method for scaling window sidelobe magnitude has been reported by Lim et al. Although the method always converges in practice, a rigorous proof of convergence is unavailable. In this paper, we introduce a new technique with guaranteed convergence for window sidelobe magnitude reduction. Without further modifications, the convergence speed of this new algorithm is quite the same as that of the previous one. Modifications aimed at speeding up convergence while maintaining the guaranteed convergence property are also presented.

KW - Main lobe sidelobe tradeoff

KW - main lobe width

KW - sidelobe magnitude

KW - window

U2 - 10.1109/LSP.2024.3403038

DO - 10.1109/LSP.2024.3403038

M3 - Article

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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

ER -

An Efficient Method with Guaranteed Convergence for Window Sidelobe Magnitude Reduction

Abstract

Keywords

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