76 citations · 109 across the 8 of their papers we have counts for
7 papers · 1 filter
Compressive Sensing Based Sparse MIMO Array Optimization for Wideband Near-Field Imaging
Shuoguang Wang, Shiyong Li, Ahmad Hoorfar +3
In the area of near-field millimeter-wave imaging, the generalized sparse array synthesis (SAS) method is in great demand. The traditional methods usually employ the greedy algorit…
Near-Field Millimeter-Wave Imaging via Arrays in the Shape of Polyline
Shuoguang Wang, Shiyong Li, Guoqiang Zhao +1
This paper proposes a polyline shaped array based system scheme, associated with mechanical scanning along the perpendicular direction of the array, for near-field millimeter-wave…
Near-Field Millimeter-Wave Imaging via Circular-Arc MIMO Arrays
Shiyong Li, Shuoguang Wang, Guoqiang Zhao +1
Millimeter-wave (MMW) imaging has a wide prospect in application of concealed weapons detection. We propose a circular-arc multiple-input multiple-output (MIMO) array scheme with u…
Efficient Near-Field Imaging Using Cylindrical MIMO Arrays
Shiyong Li, Shuoguang Wang, Moeness G. Amin +1
Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection. A near-field imaging algorit…
2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging
Shiyong Li, Moeness Amin, Qiang An +2
The coherence factor (CF) is defined as the ratio of coherent power to incoherent power received by the radar aperture. The incoherent power is computed by the multi-antenna receiv…
Radar Imaging by Sparse Optimization Incorporating MRF Clustering Prior
Shiyong Li, Moeness Amin, Guoqiang Zhao +1
Recent progress in compressive sensing states the importance of exploiting intrinsic structures in sparse signal reconstruction. In this letter, we propose a Markov random field (M…
Compressive Sensing Imaging of 3-D Object by a Holographic Algorithm
Shiyong Li, Guoqiang Zhao, Houjun Sun +1
Existing three-dimensional (3-D) compressive sensing-based millimeter-wave (MMW) imaging methods require a large-scale storage of the sensing matrix and immense computations owing…