56 citations · 164 across the 37 of their papers we have counts for
25 papers · 1 filter
Electromagnetic Twin: From Sparse Measurements to Persistent Wireless Intelligence
Tuo Wu, Lifeng Mai, Jie Tang +7
Radio maps and channel knowledge maps provide reusable propagation knowledge, but a stored map can become locally outdated after persistent changes to doors, partitions, furniture,…
Sparse Fluid Antenna Arrays: Continuous Position Design Beyond Classical DOF Limits
Tuo Wu, Jie Tang, Ye Tian +3
Fluid antenna system (FAS), which continuously repositions a single physical element across a deployment region , breaks this limit by freeing antenna positions from the di…
Rotatable Antenna Enabled Multi-Cell Mixed Near-Field and Far-Field Communications
Yunpu Zhang, Changsheng You, Ruichen Zhang +4
Prior studies on mixed near-field and far-field communications have focused exclusively on single-cell scenarios, where both near-field and far-field users are served by the same b…
Fundamental Analysis of Scalable Fluid Antenna Systems: Identifiability Limits, Information Theory, and Joint Processing
Tuo Wu, Kai-Kit Wong, Jie Tang +8
Unlike fixed-position arrays with static observation entropy, the scalable fluid antenna system (S-FAS) can dynamically adjust its aperture to form different observation spaces wit…
Rotatable Antenna Aided Mixed Near-Field and Far-Field Communications in the Upper Mid-Band: Interference Analysis and Joint Optimization
Yunpu Zhang, Changsheng You, Hing Cheung So +1
In this paper, we propose to leverage rotatable antennas (RAs) for improving the communication performance in mixed near-field and far-field communication systems by exploiting a n…
Target Localization with Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint Eigenvalue Decomposition
Guo-Zhao Liao, Xiao-Feng Gong, Wei Liu +1
This paper investigates target localization using a multistatic multiple-input multiple-output (MIMO) radar system with two distinct coprime array configurations: coprime L-shaped…
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems
Ye Tian, Jiaji Ren, Tuo Wu +7
Terahertz (THz) communication combined with ultra-massive multiple-input multiple-output (UM-MIMO) technology is promising for 6G wireless systems, where fast and precise direction…
From Partial Calibration to Full Potential: A Two-Stage Sparse DOA Estimation for Incoherently-Distributed Sources with Gain-Phase Uncertainty
He Xu, Tuo Wu, Wei Liu +5
Direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources is essential in multipath wireless communication scenarios, yet it remains challenging due to the co…
Target Localization with a Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint EVD
Guo-Zhao Liao, Xiao-Feng Gong, Wei Liu +1
This paper addresses target localization using a multistatic multiple-input multiple-output (MIMO) radar system with coprime L-shaped receive arrays (CLsA). A target localization m…
Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction
Yiyong Sun, Jiajun He, Zhidi Lin +3
Accurate prediction of mmWave time-varying channels is essential for mitigating the issue of channel aging in complex scenarios owing to high user mobility. Existing channel predic…
Performance Analysis and Low-Complexity Beamforming Design for Near-Field Physical Layer Security
Yunpu Zhang, Yuan Fang, Changsheng You +2
Extremely large-scale arrays (XL-arrays) have emerged as a key enabler in achieving the unprecedented performance requirements of future wireless networks, leading to a significant…
One-Bit Target Detection in Collocated MIMO Radar with Colored Background Noise
Yu-Hang Xiao, David Ramírez, Lei Huang +2
One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume and processing r…
Sparse array design for MIMO radar in multipath scenarios
Xuchen Li, Ronghao Lin, Hing Cheung So
Sparse array designs have focused mostly on angular resolution, peak sidelobe level and directivity factor of virtual arrays for multiple-input multiple-output (MIMO) radar. The no…
A semidefinite programming approach for robust elliptic localization
Wenxin Xiong, Yuming Chen, Jiajun He +4
This short communication addresses the problem of elliptic localization with outlier measurements. Outliers are prevalent in various location-enabled applications, and can signific…
One-Bit Spectrum Sensing for Cognitive Radio
Pei-Wen Wu, Lei Huang, David Ramírez +2
Spectrum sensing in cognitive radio necessitates effective monitoring of wide bandwidths, which requires high-rate sampling. Traditional spectrum sensing methods employing high-pre…
Robust time-of-arrival localization via ADMM
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So
This article considers the problem of source localization (SL) using possibly unreliable time-of-arrival (TOA) based range measurements. Adopting the strategy of statistical robust…
One-Bit Covariance Reconstruction with Non-zero Thresholds: Algorithm and Performance Analysis
Yu-Hang Xiao, Lei Huang, David Ramírez +2
Covariance matrix reconstruction is a topic of great significance in the field of one-bit signal processing and has numerous practical applications. Despite its importance, the con…
Globally Optimized TDOA High Frequency Source Localization Based on Quasi-Parabolic Ionosphere Modeling and Collaborative Gradient Projection
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So
We investigate the problem of high frequency (HF) source localization using the time-difference-of-arrival (TDOA) observations of ionosphere-refracted radio rays based on quasi-par…
Disproving Sum-Difference Co-Array Property
Jisheng Dai, Hing Cheung So
The recently published paper by Gupta and Agrawal [1] exploited the sum-difference co-array (SDCA) to enhance the virtual aperture of sparse arrays. We argue that the key SDCA prop…
Sparse Array Beamformer Design via ADMM
Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir
In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-to-inte…
Low-Rank and Row-Sparse Decomposition for Joint DOA Estimation and Distorted Sensor Detection
Huiping Huang, Qi Liu, Hing Cheung So +1
Distorted sensors could occur randomly and may lead to the breakdown of a sensor array system. We consider an array model within which a small number of sensors are distorted by un…
Off-Grid Direction-of-Arrival Estimation Using Second-Order Taylor Approximation
Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir
The problem of off-grid direction-of-arrival (DOA) estimation is investigated. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) gr…
Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +2
In this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time-difference-of-arrival (TDOA) location estimator in the presence of non-line-of-s…
Maximum correntropy criterion for robust TOA-based localization in NLOS environments
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +1
We investigate the problem of time-of-arrival (TOA) based localization under possible non-line-of-sight (NLOS) propagation conditions. To robustify the squared-range-based location…