https://shop.theiet.org:443/editors/marco-martorellaMarco Martorellahttps://shop.theiet.org:443/multidimensional-radar-imaging-2<p xmlns="http://ns.editeur.org/onix/3.0/reference">Increasing the performance of radar imaging systems will directly improve the effectiveness of automatic target recognition (ATR) systems. New ideas and solutions have been proposed in the recent NATO SET-250 Research Task Group (RTG) on multi-dimensional radar imaging, which initiated its activities in March 2017 and concluded them in October 2021. The goal of the SET-250 was to further develop systems and algorithms by using radar systems with extended dimensionality, such as multi-frequency, multi-polarisation and multi-view/multi-pass.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">In view of the increasing number of drone-like platforms, multi-dimensional radar needs to be assessed and compared against mono-dimensional radars in terms of their ability to provide valid support for classification and recognition of such targets. One of the major efforts that has been made within the RTG has been the organisation and execution of the RAF Spadeadam Trials, which have seen the employment of four different airborne radar systems. A range of unique results were obtained that are summarised in the various chapters of this book.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">This second volume of <i>Multidimensional Radar Imaging</i> contains declassified material that was generated within SET-250 and is key reading for anyone involved in researching or developing SAR radar imaging systems.</p>Thu, 01 Aug 2024 13:10:32 GMThttps://shop.theiet.org:443/multidimensional-radar-imaging-2https://shop.theiet.org:443/multidimensional-radar-imaging<p xmlns="http://ns.editeur.org/onix/3.0/reference">Synthetic aperture radar and inverse synthetic aperture radar (SAR/ISAR) images have been largely used for monitoring small to large areas and more specifically for target recognition/identification. However, the technology has limitations due to the use of classical monostatic, single channel, single frequency and single polarization systems. To overcome these limitations, solutions have been proposed that show the benefit of using multiple frequencies, spatial channels, polarisations and perspective, in one word multi-dimensional radar imaging systems when dealing with non-cooperative targets.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference"><i>Multidimensional Radar Imaging</i> introduces a new framework within which to address the problem of radar imaging and target recognition as it jointly looks at optimising the use of multiple channels to significantly outperform classical radar imaging systems.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">It has been used in the military within NATO for the last few years and the technology is now declassified.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">Topics covered include three-dimensional ISAR; STAP-ISAR; wide-band multi-look passive ISAR; radar tomography; multistatic PCL-SAR; fusion of multistatic ISAR images with large angular separation; rotor blade parameter estimation with multichannel passive radar; multistatic 3D ISAR imaging of maritime targets; challenges of semi-cooperative bi/multistatic SAR using Cosmo SkyMEd as an illuminator; and lessons learnt from the NATO SET-196 RTG on multi-channel/multi-static radar imaging of non-cooperative targets.</p>Mon, 29 Jul 2019 07:29:03 GMThttps://shop.theiet.org:443/multidimensional-radar-imaging