Important requirements for automotive radar are high resolution, low hardware cost, and
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …

Cross-resolution enhancement for airborne high-squint radar (AHSR) imagery is
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …

High-resolution scanning radar mapping of the surface is an effective tool for addressing
concerns in local environmental and social investigation fields. Regrettably, the azimuth …

Recently, the generalized sparse iterative covariance-based estimation algorithm was
extended to allow for varying norm constraints in scanning radar applications. In this paper …

Spectral estimation is an important classical problem that has received considerable
attention in the signal processing literature. In this contribution, we propose a novel method …

The sparse iterative covariance-based estimation (SPICE) algorithm is promising for
hyperparameter-free sparse source location for time-division-multiplexing multiple-input …

To improve the performance of the recently developed weighted least-squares-based
iterative adaptive approach (IAA) in space–time adaptive processing (STAP) for weak or …

Angular superresolution technique is of great significance in enhancing the azimuth
resolution when the real aperture is constrained. Recently, based on weighted least squares …

A novel forensic tool used for assessing the authenticity of digital audio recordings is known
as the electric network frequency (ENF) criterion. It involves extracting the embedded power …

Millimeter-wave imaging systems are increasingly used in human screening at checkpoints,
in linear or multi-input multi-output (MIMO) array modes. Rather than pressing intrinsic …