116 citations · 515 across the 26 of their papers we have counts for
13 papers · 1 filter
Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC
Xingkang Li, Shengheng Liu, Ziguo Zhong +4
Target sensing utilizing 5G NR reference signals has emerged as a prominent research direction in both academia and industry. However, non-ideal factors in practical deployments ex…
Bayesian Probability Fusion for Multi-AP Collaborative Sensing in Mobile Networks
Shengheng Liu, Xingkang Li, Yongming Huang +6
Integrated sensing and communication is widely acknowledged as a foundational technology for next-generation mobile networks. Compared with monostatic sensing, multi-access point (…
Enabling low-power massive MIMO with ternary ADCs for AIoT sensing
Shengheng Liu, Ningning Fu
The proliferation of networked devices and the surging demand for ubiquitous intelligence have given rise to the artificial intelligence of things (AIoT). However, the utilization…
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…
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
Shengheng Liu, Xingkang Li, Zihuan Mao +2
High-accuracy positioning has become a fundamental enabler for intelligent connected devices. Nevertheless, the present wireless networks still rely on model-driven approaches to a…
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…
Fast Direct Localization for Millimeter Wave MIMO Systems via Deep ADMM Unfolding
Wenzhe Fan, Shengheng Liu, Chunguo Li +1
Massive arrays deployed in millimeter-wave systems enable high angular resolution performance, which in turn facilitates sub-meter localization services. Albeit suboptimal, up to n…
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…
Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray
Zihuan Mao, Shengheng Liu, Yimin D. Zhang +2
In this paper, we address the problem of joint direction-of-arrival (DoA) and range estimation using frequency diverse coprime array (FDCA). By incorporating the coprime array stru…
Rank Minimization-based Toeplitz Reconstruction for DoA Estimation Using Coprime Array
Shengheng Liu, Zihuan Mao, Yimin D. Zhang +1
In this paper, we address the problem of direction finding using coprime array, which is one of the most preferred sparse array configurations. Motivated by the fact that non-unifo…
Structure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation with Missing Observations
Shengheng Liu, Yimin Daniel Zhang, Tao Shan +1
In this paper, we address the problem of spectrum estimation of multiple frequency-hopping (FH) signals in the presence of random missing observations. The signals are analyzed wit…