Fast ISAR autofocus algorithm via sub‐aperture

Fast autofocus algorithm for automated microscopes

Marı́a Cristı́na Chávez-Sánchez Centro de Investigación en Alimentación y Desarrollo, A. C. Unidad Mazatlán en Acuicultura y Manejo Ambiental Sábalo Cerritos S/N Apdo. Postal 711 Estero del Yugo Mazatlán Sinaloa, C.P. 82010, México Abstract. We present a new algorithm to determine, quickly and accurately, the best-in-focus image of biological particles. The algorithm is based on a one-dimensional...

Autofocus for inverse synthetic aperture radar (ISAR) imaging

A weighted eigenvector autofocus method for sparse-aperture ISAR imaging

With the development of multi-functional radar systems, inverse synthetic aperture radar (ISAR) imaging with sparse-aperture (SA) data has drawn considerable attention in the recent years. Motion compensation and imaging are among the most significant challenges that SA-ISAR imaging frequently faces. In this paper, we focus on the autofocus scheme, in which a modified eigenvector-based autofocu...

A fast autofocus algorithm for synthetic aperture radar processing

Synthetic Aperture Radar ( S A R ) has become a valuable instrument with applications in reconnaissance and remote sensing. High resolution SAR imaging requires the motion of the radar platform to be known very accurately. Otherwise phase errors are induced in the processing of the raw S A R data, and bad focusing results. In particular, a constant error in the measured along track velocity or ...

Weighted least-squares estimation of phase errors for SAR/ISAR autofocus

A new method of phase error estimation that utilizes the weighted least-squares (WLS) algorithm is presented for synthetic aperture radar (SAR)/inverse SAR (ISAR) autofocus applications. The method does not require that the signal in each range bin be of a certain distribution model, and thus it is robust for many kinds of scene content. The most attractive attribute of the new method is that i...