Mengdao Xing

TL;DR: In this article, an effective clutter suppression and moving target imaging approach is proposed for the geosynchronous-low earth orbit (GEO-LEO) bistatic multichannel synthetic aperture radar (SAR) system, which is robust for the fast moving target with Doppler centroid ambiguity.

TL;DR: In this paper, a joint approach of translational and rotational phase error corrections is introduced into high-resolution inverse synthetic aperture radar (ISAR) imaging, which is modelled as that of range-invariant and range-variant phase errors using a metric of minimum entropy.

TL;DR: To obtain a focused subband image, a range phase adjustment by contrast enhancement algorithm is proposed to estimate inner-channel high-order phase errors and a sidelobe balanced model is established to estimate constant phase error from the relationship between the balanced sidelobe and constant phase.

TL;DR: A novel factorized BP algorithm based on Cartesian coordinate without interpolation, is proposed for high-resolution spotlight SAR with much better efficiency and accuracy, achieved by establishing two spectrum compressing filters to decrease the cross-range Nyquist sampling rate enormously, thus avoid spectrum aliasing.

TL;DR: This article proposes an effective AF analysis based on SVD, which converts the double integral into the product of two single integrals in the calculation and simulated results verify the good performance of the proposed SVD-based AF analysis.