The exploitation of sparsity has significantly advanced the field of radar imaging over the last
few decades, leading to substantial improvements in the resolution and quality of the …

This article provides an overview of the cubic phase function (CPF) as a tool proposed for
both parametric and nonparametric estimation of the frequency modulated (FM) and in …

Three-dimensional (3-D) imaging plays a vital role in the recognition of spinning space
debris. However, the image may be blurred due to the range migration caused by fast …

This letter considers the coherent integration problem for a maneuvering target, involving
range migration (RM) and Doppler frequency migration (DFM) within one coherent pulse …

This paper considers the coherent integration problem for maneuvering target detection and
motion parameters estimation, involving range migration (RM) and Doppler frequency …

In this paper, by employing the symmetric autocorrelation function and the scaled inverse
Fourier transform (SCIFT), a coherent detection algorithm is proposed for high-speed …

In inverse synthetic aperture radar (ISAR) imaging of targets with complex motion such as
fluctuating ships with oceanic waves and high maneuvering airplanes, the azimuth echo …

This paper presents an extension of the integrated time-chirp rate analysis technique, known
as the parameterized centroid frequency-chirp rate distribution (PCFCRD), for noisy …

Acoustic clutter produced by off-axis and multipath scattering is known to cause image
degradation, and in some cases these sources may be the prime determinants of in vivo …

In this paper, a novel synthetic aperture radar (SAR) ground moving target imaging (GMTIm)
algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) …