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On Binary Sequence Design via PSL Minimization

delete2024-01-01
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PRE
AI
R
Ronghao Lin
Y
Yutao Chen *
H
Hing Cheung So
李建 cover
李建 (Jian Li)
DOI:10.1109/LSP.2023.3344069delete
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Abstract

Abstract

En 中文
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.
Keywords:
Signal processing algorithms
Autocorrelation
Linear programming
Sensors
Measurement
Radar
Minimization
Autocorrelation function
binary sequence
gradient based method
low correlation zone
peak sidelobe level minimization

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

U
university of science & technology of china, cas
Scholars:
3.2W
Papers: 2.7W
Citations: 74
C
City University of Hong Kong
Scholars:
2.3W
Papers: 3.0W
Citations: 6.1W
C
chinese academy of sciences
Scholars:
56.5W
Papers: 44.9W
Citations: 704
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