Microwave imaging with large rotating angle and sparse sampling is an attractive approach
to obtain the high-resolution target image with reduced radar resource. However, the …

Compressed sensing (CS) demonstrates significant potential to improve image quality in 3-
D millimeter-wave imaging compared with conventional matched filtering (MF). However …

Electromagnetic imaging methods mainly utilize converted sampling, dimensional
transformation, and coherent processing to obtain spatial images of targets, which often …

Since the compressed sensing (CS) theory broke through the limitation of the traditional
Nyquist sampling theory, it has attracted extensive attention in the field of microwave …

Microwave synthetic aperture interferometric radiometers (SAIRs) are very powerful
instruments for high-resolution remote sensing of the atmosphere and the earth surfaces at …

The application of the compressed sensing (CS) method in the radar field enables the radar
imaging system to satisfy both low data cost and high reconstruction quality; however, it is …

Satellite microwave radiometer data is affected by many degradation factors during the
imaging process, such as the sampling interval, antenna pattern and scan mode, etc …

With the continuous development of near-field radar microwave imaging technology, low-
rank or compressed sensing (CS) methods have shown great potential in solving high …

Range instantaneous Doppler (RID) methods show superior advantages in imaging
performance over range-Doppler (RD) algorithms for maneuvering targets. However …

With regard to inverse synthetic aperture radar (ISAR) imaging, traditional range-Doppler
(RD) algorithm is inapplicable to sparse aperture. Although compressive sensing (CS) …