Chain-Net: Learning deep model for modulation classification under synthetic channel impairment

T Huynh-The, VS Doan, CH Hua… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Modulation classification, an intermediate process between signal detection and
demodulation in a physical layer, is now attracting more interest to the cognitive radio field …

Analysis and digital predistortion of in-band cross modulation in concurrent multi-band transmitters

Y Hahn, JI Martinez-Lopez, P Roblin, R Alsulami… - IEEE …, 2022 - ieeexplore.ieee.org
In multiband transmitters where two or more radios share the same power amplifier (PA),
interferences can usually be kept below an acceptable level with the help of multi-band …

Joint demodulation and decoding with multi-label classification using deep neural networks

I Ahmed, W Xu, R Annavajjala… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
In this paper, we leverage the power of artificial intelligence in the receiver design for joint
baseband demodulation and channel decoding. We consider a point-to-point …

Low-Complexity SVD Precoding for Faster-Than-Nyquist Signaling Using High-Order Modulations

Q Li, L Li, Y Li, W Han, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To address the low spectrum efficiency of satellite communications, faster-than-Nyquist
(FTN) signaling has proven a promising technology to improve the spectrum efficiency …

A deep learning approach for modulation recognition

Y Zhang, LIU Tong, L Zhang… - 2018 IEEE 23rd …, 2018 - ieeexplore.ieee.org
Communication signal modulation recognition refers to a process of automatically
processing a received signal and determining its modulation type. As an intermediate part of …

A blind despreading and demodulation method for QPSK-DSSS signal with unknown carrier offset based on matrix subspace analysis

Z Qiu, H Peng, T Li - IEEE Access, 2019 - ieeexplore.ieee.org
Direct sequence spread spectrum (DSSS) signals are widely used in various military and
civilian communication systems. It adopts the pseudorandom (PN) sequence to modulate …

[HTML][HTML] Emitter identification of digital modulation transmitter based on nonlinearity and modulation distortion of power amplifier

Y Chen, X Chen, Y Lei - Sensors, 2021 - mdpi.com
Specific transmitter identification (SEI) is a technology that uses a received signal to identify
to which individual radiation source the transmitted signal belongs. It can complete the …

Low complexity demodulation scheme for IEEE 802.15. 4 LR-WPAN systems

W Kim, Y Jung, S Lee, J Kim - ieice electronics express, 2008 - jstage.jst.go.jp
In this paper, a low complexity demodulation scheme is proposed for IEEE 802.15. 4 LR-
WPAN systems. In the proposed scheme, multiple active correlators for demodulation are …

Novel parallel-processing-based hardware implementation of baseband digital predistorters for linearizing wideband 5G transmitters

H Huang, J Xia, S Boumaiza - IEEE Transactions on Microwave …, 2020 - ieeexplore.ieee.org
In this article, a real-time digital predistortion (DPD) hardware architecture is presented for
the linearization of fifth-generation (5G) transmitters with wideband modulation signals. To …

Deep learning for robust automatic modulation recognition method for IoT applications

T Zhang, C Shuai, Y Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
In the scenarios of non-cooperative wireless communications, automatic modulation
recognition (AMR) is an indispensable algorithm to recognize various types of signal …