58 citations · 150 across the 13 of their papers we have counts for
13 papers
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems
K. F. Masood, J. Tong, J. Xi +2
This paper studies the estimation of cascaded channels in passive intelligent reflective surface (IRS)- aided multiple-input multiple-output (MIMO) systems employing hybrid precode…
Grant Free MIMO-NOMA with Differential Modulation for Machine Type Communications
Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +4
This paper considers a challenging scenario of machine type communications, where we assume internet of things (IoT) devices send short packets sporadically to an access point (AP)…
Cross-Validated Tuning of Shrinkage Factors for MVDR Beamforming Based on Regularized Covariance Matrix Estimation
Lei Xie, Zishu He, Jun Tong +2
This paper considers the regularized estimation of covariance matrices (CM) of high-dimensional (compound) Gaussian data for minimum variance distortionless response (MVDR) beamfor…
Regularized Covariance Estimation for Polarization Radar Detection in Compound Gaussian Sea Clutter
Lei Xie, Zishu He, Jun Tong +3
This paper investigates regularized estimation of Kronecker-structured covariance matrices (CM) for polarization radar in sea clutter scenarios where the data are assumed to follow…
Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation
Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +3
Grant-free non-orthogonal multiple access (NOMA) is promising to achieve low latency massive access in Internet of Things (IoT) applications. In grant-free NOMA, pilot signals are…
On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels
Tianle Liu, Jun Tong, Qinghua Guo +3
This paper considers uplink massive multiple-input multiple-output (MIMO) systems with lowresolution analog-to-digital converters (ADCs) over Rician fading channels. Maximum-ratio-…
Channel Covariance Matrix Estimation via Dimension Reduction for Hybrid MIMO MmWave Communication Systems
Rui Hu, Jun Tong, Jiangtao Xi +2
Hybrid massive MIMO structures with lower hardware complexity and power consumption have been considered as a potential candidate for millimeter wave (mmWave) communications. Chann…
Extreme Learning Machine Based Non-Iterative and Iterative Nonlinearity Mitigation for LED Communications
Dawei Gao, Qinghua Guo, Jun Tong +3
This work concerns receiver design for light emitting diode (LED) communications where the LED nonlinearity can severely degrade the performance of communications. We propose extre…
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation
Jun Tong, Rui Hu, Jiangtao Xi +3
Shrinkage can effectively improve the condition number and accuracy of covariance matrix estimation, especially for low-sample-support applications with the number of training samp…
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Rui Hu, Jun Tong, Jiangtao Xi +2
Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications.…
Defect detection for patterned fabric images based on GHOG and low-rank decomposition
Chunlei Li, Guangshuai Gao, Zhoufeng Liu +3
In order to accurately detect defects in patterned fabric images, a novel detection algorithm based on Gabor-HOG (GHOG) and low-rank decomposition is proposed in this paper. Defect…
Low-Complexity and Basis-Free Channel Estimation for Switch-Based mmWave MIMO Systems via Matrix Completion
Rui Hu, Jun Tong, Jiangtao Xi +2
Recently, a switch-based hybrid massive MIMO structure that aims to reduce the hardware complexity and power consumption has been proposed as a potential candidate for millimeter w…
Approximate Message Passing with Unitary Transformation
Qinghua Guo, Jiangtao Xi
Approximate message passing (AMP) and its variants, developed based on loopy belief propagation, are attractive for estimating a vector x from a noisy version of z = Ax, which aris…