75 citations · 86 across the 13 of their papers we have counts for
10 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…
Deep Transfer Clustering of Radio Signals
Qi Xuan, Xiaohui Li, Zhuangzhi Chen +3
Modulation recognition is an important task in radio signal processing. Most of the current researches focus on supervised learning. However, in many real scenarios, it is difficul…
DemodNet: Learning Soft Demodulation from Hard Information Using Convolutional Neural Network
Shilian Zheng, Xiaoyu Zhou, Shichuan Chen +2
Soft demodulation is a basic module of traditional communication receivers. It converts received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the noni…