Open AccessNoise-Based Frequency Spectrum Correction Method Using Interior Point Approach (April 2025)
Author(s) -
Guichun Yang,
Shengyou Zhou,
Han Chen,
Huiyue Yang,
Weixing Hua,
Zhaojie Wu,
Yan Chen
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3589500
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Frequency spectrum correction of noisy real sinusoidal signals has garnered widespread attention in numerous fields. This paper proposes a spectrum correction method for noisy real signals based on the interior point (IP) approach, transforming the spectrum correction problem into an unconstrained optimization problem. By adopting a peak detection method to determine the peaks on both sides of the true spectral peak, which serve as the upper and lower bounds for the IP approach solution, precise estimates of the amplitude, frequency, and phase of the single-frequency signal are obtained, thereby achieving frequency spectrum correction. Simulation results indicate that this method exhibits lower computational cost and higher efficiency for real sinusoidal signals. Compared with other frequency spectrum correction methods, it demonstrates superior accuracy.
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