2 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
Tao Chen, Shilian Zheng, Jiepeng Chen +3
Multi-antenna receiving systems have become a prevalent technical solution in communication systems. Meanwhile, deep learning has achieved significant progress in automatic modulat…
Unsupervised Equivalent Contrastive Learning for Radio Signal Recognition
Shilian Zheng, Jie Chen, Luxin Zhang +1
Robust radio signal recognition is fundamental to spectrum management, electromagnetic space security, and intelligent wireless applications, yet existing deep-learning methods rel…
DS-Pnet: FM-Based Positioning via Downsampling
Shilian Zheng, Xinjiang Qiu, Luxin Zhang +3
In this paper we present DS-Pnet, a novel framework for FM signal-based positioning that addresses the challenges of high computational complexity and limited deployment in resourc…
WK-Pnet: FM-Based Positioning via Wavelet Packet Decomposition and Knowledge Distillation
Shilian Zheng, Quan Lin, Peihan Qi +4
Accurate and efficient positioning in complex environments is critical for applications where traditional satellite-based systems face limitations, such as indoors or urban canyons…
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
Xinjie Xu, Zhuangzhi Chen, Dongwei Xu +5
With the rapid development of deep learning, automatic modulation recognition (AMR), as an important task in cognitive radio, has gradually transformed from traditional feature ext…