On Binary Sequence Design via PSL Minimization

Ronghao Lin, Yutao Chen*, Hing Cheung So, Jian Li

*Corresponding author for this work

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

3 Citations (Scopus)

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

Research Keywords

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

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