Abstract
When generating inverse synthetic aperture radar (ISAR) images of a rapidly moving target such as an aircraft, motion compensation is an essential step. This process of removing the effects of the target's radial motion is required because the target usually moves a distance that is many times larger than the radar's range resolution during the time that the data for an image is being collected. This processing requires estimation of the target motion to within a fraction of a wavelength before useful images can be generated. To generate ISAR images in real- time, the estimation and correction processing must be performed hundreds of times per second. This level of processing performance is becoming possible using currently available digital signal processor devices. The Naval Command, Control and Ocean Surveillance Center Research, Development, Test and Evaluation Division developed a linear frequency modulated (LFM) radar for ISAR imaging of aircraft. Motion compensation and imaging techniques were developed to process data collected by this radar. These algorithms are categorized according to the accuracy of the motion estimate they provide. The performance of the algorithms is measure when they are applied to data collected using the NRaD LFM radar. The implications of these results for more general applications are examined.
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