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Open AccessArticle

p-STFT: A Robust Parameter Estimator of a Frequency Hopping Signal for Impulsive Noise

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
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Electronics 2019, 8(9), 1017; https://doi.org/10.3390/electronics8091017
Received: 7 August 2019 / Revised: 5 September 2019 / Accepted: 6 September 2019 / Published: 11 September 2019
(This article belongs to the Section Circuit and Signal Processing)
Impulsive noise is commonly present in many applications of actual communication networks, leading to algorithms based on the Gaussian model no longer being applicable. A robust parameter estimator of frequency-hopping (FH) signals suitable for various impulsive noise environments, referred to as p-STFT, is proposed. The p-STFT estimator replaces the 2-norm by using the generalized version p-norm where 1 < p < 2 for the derivation of the short-time Fourier transform (STFT) as an objective function. It combines impulsive noise processing with any time-frequency analysis algorithm based on STFT. Considering the accuracy of parameter estimation, the double-window spectrogram difference (DWSD) algorithm is used to illustrate the suitability of p-STFT. Computer simulations are mainly conducted in α-stable noise to compare the performance of p-STFT with STFT and fractional low-order STFT (FLOSTFT), Cauchy noise, and Gaussian mixture noise as supplements of different background noises to better demonstrate the robustness and accuracy of p-STFT. View Full-Text
Keywords: frequency-hopping signal; short-time Fourier transform; p-norm; blindly estimating frequency-hopping signal; short-time Fourier transform; p-norm; blindly estimating
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Su, Y.; Wang, L.; Chen, Y.; Yang, X. p-STFT: A Robust Parameter Estimator of a Frequency Hopping Signal for Impulsive Noise. Electronics 2019, 8, 1017.

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