Open AccessProceedings Article
Blind equalization and characteristic function based robust modulation recognition
Qinghua Shi
- 03 Apr 2012
- pp 660-664
TL;DR: A robust modulation recognition scheme is proposed to identify practical QAM signals, which suffer from various unknown effects including multipath propagation, pulse shaping, time delay, and phase shift.
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Abstract: A robust modulation recognition scheme is proposed to identify practical QAM signals, which suffer from various unknown effects including multipath propagation, pulse shaping, time delay, and phase shift. Relying on blind signal processing techniques, the proposed scheme consists of two steps: front-end signal processing followed by modulation classification. At the first step, a fractionally-spaced blind equalizer is applied to accomplish equalization and time synchronization. Phase shift is then estimated and corrected. As required, signal-to-noise ratio is also estimated. At the second step, modulation formats are classified via characteristic function. Simulation results are provided to show the performance of the proposed scheme.
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Citations
Blind equalization and Automatic Modulation Classification based on pdf fitting
Souhaila Fki,Abdeldjalil Aissa-El-Bey,Thierry Chonavel +2 more
- 19 Apr 2015
TL;DR: A blind equalizer based on probability density function (pdf) fitting is proposed that does not require any prior information about the transmission channel or the emitted constellation and is investigated through simulations.
•Dissertation
Egalisation aveugle par méthodes à noyaux et techniques de classification automatique de modulations
Souhaila Fki
- 08 Jan 2015
TL;DR: In this paper, the authors propose a nouvelle structure d'egaliseur satisfaisant a ces exigences and don't on a demontre the convergence of l'erreur quadratique en sortie vers celle de l'egalizeur non aveugle du minimum d'errier quadrique moyenne (MMSE).
3
Proceedings Article
Automatic modulation classification for multi-criteria generic channel equalization
20 Jun 2023
2
Automatic modulation classification for multi-criteria generic channel equalization
Chouaib Farhati,Souhaila Fki,Abdeldjalil Aïssa-El-Bey,Fatma Abdelkefi +3 more
- 01 Jun 2023
TL;DR: Simulation results support the proposed joint generic blind equalizer, based on a new multi-criteria cost function and automatic modulation classification (AMC), and they show a better performance in terms of mean square error (MSE) and symbol error rate (SER) compared to other GBE from the literature.
1
•Posted Content
Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification
TL;DR: In this article, a dual path network (DPN) is proposed to combine the signal path of DSP operations that recover the signal and a feature path of neural networks that estimate the unknown transmit parameters.
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