Nikita Petrov defended his PhD thesis. Congratulations!

Modern surveillance radars are designed to detect moving targets of interest in an adverse environment, which can encompass strong unwanted reflections from ground or sea surface, clouds, precipitation, etc. Detection of weak and small moving targets in environmental clutter remains, however, a challenging task for the existing radar systems.

One of the main directions for modern radar performance improvement is the application of wideband high-resolution waveforms, which provide detailed range information of objects at the observed scene. Together with such inherent advantages of wideband waveforms as multi-path separation, clutter reduction and improved target classification, additional benefits can be obtained by exploiting target range migration (range walk), essential for fast moving targets in the high-resolution mode.

This thesis aims at the development of novel signal processing techniques for migrating target detection in wideband radars. It involves both resolving range-velocity ambiguities and improvement in target discrimination from ground clutter by accounting for target range migration.

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