On Binary Sequence Design via PSL Minimization

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)151-155
Journal / PublicationIEEE Signal Processing Letters
Volume31
Online published18 Dec 2023
Publication statusPublished - 2024

Abstract

We introduce an efficient gradient based algorithm to minimize the peak sidelobe level (PSL) for binary sequence designs with or without low correlation zone requirements. The proposed algorithm calculates the effective step sizes by leveraging fast Fourier transform operations and employing low-complexity updates, and its local convergence is proved. Numerical examples are provided to demonstrate that our approach can outperform the state-of-The-Art algorithms in generating binary sequences with lower PSL values.

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Research Area(s)

  • Autocorrelation function, binary sequence, gradient based method, low correlation zone, peak sidelobe level minimization

Citation Format(s)

On Binary Sequence Design via PSL Minimization. / Lin, Ronghao; Chen, Yutao; So, Hing Cheung et al.
In: IEEE Signal Processing Letters, Vol. 31, 2024, p. 151-155.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review