Spatially Diverse ISAR Imaging for Classification Performance Enhancement

Abstract

Spatially Diverse ISAR Imaging for Classification Performance Enhancement One popular approach to the problem of Non-Cooperative Target Identification is the use of 2D Inverse SAR images. Methods to successfully identify a target include the comparison of a set of scattering centers in the ISAR image to a database or the estimation of target dimensions. While working well in theory, these techniques face major difficulties in practice. In the conventional case of a monostatic radar, visibility of scattering centers varies with the target aspect angle due to fading. In this paper we examine that the visibility of scattering centers can be improved by incoherent addition of images from spatially distributed radars. The main focus lies in the description and results of a multistatic ISAR experiment carried out at Fraunhofer FHR. We display theoretically derived bistatic synchronization errors in a practical system and formulate additional multistatic synchronization requirements, necessary to add up the images.

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

“…Further theoretical considerations related to multistatic motion compesation and image reconstruction were later published in [247], [248]. Brisken et al developed an experimental multistatic ISAR imaging system (FEMMES) and demonstrated the motion estimation and imaging techniques in a series of publications [18], [249]- [253]. The FEMMES system is capable of forming multistatic images in X-band with approximately 10 cm resolution.…”

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

“…In the case of a wider separation among the sensors, such an assumption does not hold. As the target e.m. response varies when observed by significantly different observation angles, incoherent combination approaches must be considered (e.g., [9] shows that enhanced target classification can be obtained by incoherent summation of single-sensor images acquired by spatially distributed sensors).…”

First experimental results on multi-angle DVB-S based passive ISAR exploiting multipolar data

“…To overcome the limitations imposed by the low power budget and to increase the target information space, solutions based on multidimensional configurations can be considered [10], [11]. For example, in [4], a method for fusing GNSSbased passive ISAR images achieved over consecutive time instants (frames) has been proposed.…”