On Binary Sequence Design via PSL Minimization
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 151-155 |
| Journal / Publication | IEEE Signal Processing Letters |
| Volume | 31 |
| Online published | 18 Dec 2023 |
| Publication status | Published - 2024 |
Link(s)
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.
© 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
© 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
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.
In: IEEE Signal Processing Letters, Vol. 31, 2024, p. 151-155.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
