Space-time processing has been proposed as an approach by which an airborne radar can adaptively detect small targets in the presence of ground clutter and jammers, provided the covariance matrix of the interference is available. One of the difficulties in estimating the covariance matrix is the need to obtain a sufficient number of independent samples, especially for high pulse-repetition-frequency (PRF) systems. It is shown here that this difficulty can be overcome by combining subaperture averaging, or spatial smoothing, of the received data with conventional range bin averaging.<>
Clutter covariance smoothing by subaperture averaging
IEEE Transactions on Aerospace and Electronic Systems ; 30 , 3 ; 941-945
01.07.1994
415711 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Clutter Covariance Smoothing by Subaperture Averaging
Online Contents | 1994
|Subaperture autofocus for synthetic aperture radar
IEEE | 1994
|Track split smoothing for target tracking in clutter
IEEE | 2017
|Multi-Subaperture PGA for SAR Autofocusing
IEEE | 2013
|