Algorithm for frequency-hopping signal de-noising based on intrinsic time-scale decomposition

HU Hong

doi:10.20193/j.ices2097-4191.2024.0064

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Integrated Circuits and Embedded Systems ›› 2025, Vol. 25 ›› Issue (3) : 47-53. DOI: 10.20193/j.ices2097-4191.2024.0064

Research Paper

Algorithm for frequency-hopping signal de-noising based on intrinsic time-scale decomposition

HU Hong ^*

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Abstract

A new denoising algorithm for frequency hopping signals based on intrinsic time-scale decomposition (ITD) is proposed to address issues such as low signal-to-noise ratio, difficulty in analysis and reconstruction. The algorithm takes ITD as its core, and uses the decomposition processing to obtain the sudden change characteristics of the cross-correlation peak values between the rotation component, trend component and the original signal to establish noise discrimination criteria, accurately removing noise components to achieve frequency hopping signal reconstruction and signal-to-noise ratio improvement. The simulation results demonstrate the effectiveness of the algorithm, which can adapt to a signal-to-noise ratio of -1 dB while ensuring that the distortion of the reconstructed signal is less than 5%. The reconstructed signal can be improved by at least 9 dB.

Key words

intrinsic time-scale decomposition / cross-correlation / SNR / distortion

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HU Hong. Algorithm for frequency-hopping signal de-noising based on intrinsic time-scale decomposition[J]. Integrated Circuits and Embedded Systems. 2025, 25(3): 47-53 https://doi.org/10.20193/j.ices2097-4191.2024.0064

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