Title
Concept And Performance Analysis Of Melissa Mimo Gmti
Abstract
One of the most important task for a radar system in the security domain is to discriminate a potential moving target from the clutter background, especially when the Signal-to-Clutter Ratio (SCR) is low. This document hence describes a new algorithm for improving the detection of a potential moving target when a Ground Based (GB) MIMO SAR is adopted. GB-MIMO SAR is a new family of radar sensors which are able to create a 2-D image of a scene of interest without a moving platform. In order to improve the detection ability of the system, especially when SCR is low, a novel signal processing approach is presented, based on the Ground Moving Target Indication (GMTI) architecture. Since a GB-MIMO SAR image is obtained by acquiring data from several channels, it is possible to increase the SCR by adding them coherently and adopting a Single Delay-Line Canceler (SDLC). The results proved the ability of the proposed method for increasing the Signal-to-Clutter Ratio, especially for stationary or quasi-stationary clutter.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
GMTI, MIMO SAR, Clutter suppression
Field
DocType
ISSN
Radar engineering details,Computer vision,Moving target indication,Synthetic aperture radar,Computer science,Clutter,Remote sensing,Inverse synthetic aperture radar,Artificial intelligence,Radar horizon,Space-time adaptive processing,Stationary target indication
Conference
2153-6996
Citations 
PageRank 
References 
1
0.37
1
Authors
5