109 citations · 113 across the 6 of their papers we have counts for
6 papers
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…
Crossterm-Free Time-Frequency Representation Exploiting Deep Convolutional Neural Network
Shuimei Zhang, Yimin D. Zhang
Bilinear time-frequency representations (TFRs) provide high-resolution time-varying frequency characteristics of nonstationary signals. However, they suffer from crossterms due to…
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…
Gridless Quadrature Compressive Sampling with Interpolated Array Technique
Feng Xi, Shengyao Chen, Yimin D. Zhang +1
Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling scheme for acquiring in-phase and quadrature (I/Q) components in radar. In this scheme, the received intermediate…
Segment-Sliding Reconstruction of Pulsed Radar Echoes with Sub-Nyquist Sampling
Suling Zhang, Feng Xi, Shengyao Chen +2
It has been shown that analog-to-information con- version (AIC) is an efficient scheme to perform sub-Nyquist sampling of pulsed radar echoes. However, it is often impractical, if…
Pulse-Doppler Signal Processing with Quadrature Compressive Sampling
Chao Liu, Feng Xi, Shengyao Chen +1
Quadrature compressive sampling (QuadCS) is a newly introduced sub-Nyquist sampling for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. For applicatio…