Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

Compressive sensing (CS) and matrix sensing (MS) techniques have been applied to the
synthetic aperture radar (SAR) imaging problem to reduce the sampling amount of SAR …

The sparsity-driven technique is a widely used tool to solve the synthetic aperture radar
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …

With regard to the multifunction radar transmitting sparse stepped-frequency-modulation
(SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal …

Radar target imaging can provide important information for target monitoring and
recognition. In order to reduce the data amount and save radar resources, the target imaging …

For the ultrahigh-resolution airborne stepped-frequency synthetic aperture radar, very large
synthetic bandwidth and very long integration time may lead to a 2-D space-variant (SV) …

Due to its flexibility and low cost, the bistatic forward-looking synthetic aperture radar
(BFSAR) which employs side-looking transmitter and forward-looking receiver has been …

Compressed sensing (CS)-based synthetic aperture radar (SAR) imaging methods are
showing superior potential in imaging performance over classical matched filtering-based …

Clutter suppression and ground moving target imaging in synthetic aperture radar (SAR)
system have been receiving increasing attention for both civilian and military applications …

The motion compensation (MOCO) for the airborne SAR with ultrahigh resolution and wide
swath is required to consider the range-dependent (RD) phase error. The RD phase error …