Software demodulation of weak radio signals using convolutional neural network

M Kozlenko, I Lazarovych, V Tkachuk… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
In this paper we proposed the use of JT65A radio communication protocol for data exchange
in wide-area monitoring systems in electric power systems. We investigated the software …

Performance analysis of parallel concatenation of LDPC coded SISO-GFDM system for distinctive pulse shaping filters using USRP 2901 device and its application to …

N Telagam, S Lakshmi, N Kandasamy - Wireless Personal …, 2021 - Springer
The increasing demand for high data rates requires channel error control codes for the
upcoming fifth generation. This article presents an investigation of the parallel concatenation …

An iterative detection algorithm for coded CPFSK signals with irrational modulation index

S Zarei, W Gerstacker, G Kilian… - 2012 Proceedings of the …, 2012 - ieeexplore.ieee.org
An algorithm for iterative demodulation and decoding of convolutionally coded and
interleaved Continuous Phase Frequency Shift Keying (CPFSK) signals with an irrational …

Hierarchical digital modulation classification using cascaded convolutional neural network

J Huang, S Huang, Y Zeng, H Chen… - Journal of …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC) aims to identify the modulation format of the
received signals corrupted by the noise, which plays a major role in radio monitoring. In this …

Deep-Learning-Based Classifier With Custom Feature-Extraction Layers for Digitally Modulated Signals

JA Snoap, DC Popescu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The paper presents a novel deep-learning (DL) based classifier for digitally modulated
signals that uses a capsule network (CAP) with custom-designed feature extraction layers …

Performance of convolutional coding with symbol erasure for QPSK frequency-selective fading channels

H Zhou, RH Deng - IEICE Transactions on Communications, 1993 - search.ieice.org
In this paper, we study the performance of convolutional coding using an error-and-erasure
correction Viterbi decoder for π/4-shift QDPSK mobile radio transmission. The receiver uses …

Experimental evaluation of SEFDM trellis based demodulator

A Kislitsyn, A Krylov, A Rashich - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Many modern telecommunication systems use OFDM signals, because of their high
performance in fading channels. Meanwhile, spectrum shortage is one of the most urgent …

NN‐based IDF demodulator in band‐limited communication system

F Meng, P Chen, L Wu - IET Communications, 2018 - Wiley Online Library
To meet the spectrum requirement in the future wireless communication system, the m‐ary
phase position shift keying as a type of the spectrally efficient modulation has been …

OFDM Modulation Classification Using Cross-SKNet with Blind IQ Imbalance and Carrier Frequency Offset Compensation

B Ren, KC Teh, H An… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) plays a vital role in military and civilian
applications, which identifies the modulation schemes of received signals before signal …

Signal processing-based deep learning for blind symbol decoding and modulation classification

S Hanna, C Dick, D Cabric - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Blindly decoding a signal requires estimating its unknown transmit parameters,
compensating for the wireless channel impairments, and identifying the modulation type …