116 citations · 118 across the 5 of their papers we have counts for
5 papers
Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB
Shengheng Liu, Zihuan Mao, Xingkang Li +4
Pervasive and high-accuracy positioning has become increasingly important as a fundamental enabler for intelligent connected devices in mobile networks. Nevertheless, current wirel…
5G NR monostatic positioning with array impairments: Data-and-model-driven framework and experiment results
Shengheng Liu, Hao Wang, Mengguan Pan +3
In this article, we present an intelligent framework for 5G new radio (NR) indoor positioning under a monostatic configuration. The primary objective is to estimate both the angle…
In-Situ Calibration of Antenna Arrays for Positioning With 5G Networks
Mengguan Pan, Shengheng Liu, Peng Liu +5
Owing to the ubiquity of cellular communication signals, positioning with the fifth generation (5G) signal has emerged as a promising solution in global navigation satellite system…
Link-level simulator for 5G localization
Xinghua Jia, Peng Liu, Wangdong Qi +5
Channel-state-information-based localization in 5G networks has been a promising way to obtain highly accurate positions compared to previous communication networks. However, there…
Efficient Joint DOA and TOA Estimation for Indoor Positioning with 5G Picocell Base Stations
Mengguan Pan, Peng Liu, Shengheng Liu +5
The ubiquity, large bandwidth, and spatial diversity of the fifth generation (5G) cellular signal render it a promising candidate for accurate positioning in indoor environments wh…